INFONET Workshop 2013

INFONET Workshop 2013

2014. 1. 7

Advisor: Prof. Heung-No Lee

- Schedule -

Time Contents Speakers 10:30 ~ 11:00 Opening Opening (Lab Leader) Introduction (Prof. Lee)

11:00 ~ 11:50 BCI Session BCI Leader, Younghak Shin, Seungchan Lee,

Soogil Woo 12:00 ~ 13:00 Lunch

13:00 ~ 14:20 CS Session CS Leader, Sangjun Park, Hwanchol Jang,

Oliver, Pavel, Hyeongho Baek, Nitin 14:20 ~ 14:30 Break

14:30 ~ 16:00 Network Session

Network Leader, Jintaek Seong, Woongbi Lee, Jeongmin Ryu, Zafar, Jusung Kang, Jongmok Shin

16:00 ~ 16:15 Ending Summary, Picture time

16:15 ~ Sport Time

INFONET • Research in 2013 and outlook for 2014

School of Information and Communications

Summary of Total Research Outcomes from INFONET in 2013

- INFONET Workshop 2013 -

Speaker : Lab leader (Seungchan Lee)

Jan. 7th, 2014


Gwangju Institute of Science and Technology

Research Achievements in 2013

Achievement in 2013 | Summary of 2013 | Research Plan for 2014

1/6

Pulication Types The Number of Publications

International Journal 6

Domestic Journal 2

Book Chapter 2

Patents 3

International Conference 11

Domestic Conference 7

Summary of Total Research Outcomes from INFONET in 2013





2/6

No. Type of

PublicationsTitle

Name of Authors including yourself

Name of Publication / Conference

Vol.(No.), Page (First-Last)

1

InternationalJournal(SCI)

Necessary and Sufficient Conditions for Recovery of Sparse Signals over Finite Fields

Jin-Taek Seong, Heung-No Lee

IEEE Communications Letters

vol. 17, no. 10, pp. 1976-1979

2An Inventory Model-based Spectrum Pooling for Wireless Service Provider and Unlicensed Users

Sang-Seon Byun, Ilangko Balasingham, and Heung-No

Lee

Computer Communications

Vol. 36, issues. 10-11, pp. 1186–1191

3A novel method for controlled synthesis of nanosizehematite (α-Fe2O3) thin film on liquidvapor interface

Pawan Kumar, Raj Kumar Singh, Nitin Rawat, Partha Bir Barman, Subhash Chander

Katyal, Hwanchol Jang, Heung-No Lee*, and Rajesh

Kumar*

Journal of nano particle research

4Enhancing the numerical aperture of lenses using ZnO

nanostructures-based turbid media

Richa Khokhra, Manoj Kumar, Nitin Rawat, Partha Bir

Barman, Hwanchol Jang, Rajesh Kumar and Heung-No

Lee

Journal of Optics pp.1-6

5Filters with random transmittance for improving resolution in spectrometers

J. Oliver, WoongBi Lee and Heung-No Lee

Optics ExpressVol. 21, No. 4, pp. 3969–3989

6

Coordinating Transmit Power and Carrier Phase for Wireless Networks with Multi-Packet Reception Capability

Wooyeol Choi, Taewoon Kim, Daeyoung Park, Heung-No Lee and Hyuk Lim

EURASIP Journal on Wireless Communications and Networking

doi:10.1186/1687-1499-2013-1

7Domestic Journal

압축 센싱 신호 복구를 위한 AMP(Approximate Message Passing) 알고리즘 소개 및 성능 분석

Hyeong-ho Baek, Jae-wook Kang, Ki-sun Kim, Heung-no

Lee한국통신학회논문지

Vol. 38C, no. 11, pp. 1029-1043

8Evaluation of resolution improvement capability of a DSP technique for filter-array-based spectrometers

J. Oliver, Woong-Bi Lee, SangJun-Park, and Heung-

No Lee한국통신학회

vol. 38C, no. 6, pp. 497-502





3/6

No. Type of

PublicationsTitle

Name of Author(s)including yourself

Name of PublisherPublished

Date (yyyymm)

1

Book chapter

Brain-Computer Interface(A Review of Wireless Brain-Computer Interface

Systems)이승찬,신영학,우수길,이흥노 INTECH 2013.06

2Review of Applications for Wireless Brain-Computer

Interface Systems

Soogil Woo, Younghak Shin, Seungchan Lee, and Heung-

No Lee* igi global accepted

No. Name TitleName of Inventorsinclulding yourself

Registration No.Date Registered

(yyyymmdd) Country

Registered

1 이흥노 유한체의 희소 신호 복구 방법 및 장치 이흥노, 성진택 10-2012-0060225 2013.07.04 PCT

2 이흥노상관관계 있는 신호의 전송 방법과 이를 구현한송신기, 그리고 상관관계 있는 신호의 복원 방법과이를 구현한 수신기

이흥노,김현주,하동수 10-2011-0127905 2013.05.27 대한민국

3 이흥노분산적 압축 센싱 및 협력 복구를 수행하는 신호취득

장치 및 그 방법이흥노,이준호, 박상준

10-2010-009612810-1112746-00-00

2013.03.05 대한민국





4/6

No. Type of

PublicationsTitle


Name of PublisherPublished Date

(yyyymm)

1

International Conference

Noisy Behavior of MAP-based Sparse Support Detection

Jaewook Kang, Heung-No Lee, and Kiseon Kim

SPARS 2013, Lausanne in Switzerland

2

Random Transmittance Based Filter Array Spectrometers: Sparse Spectrum Recovery And Resolution Improvement

J. Oliver, WoongBi Lee and Heung-No Lee

IEEE Global Conference on Signal and Information Processing (GlobalSIP), Austin, Texas, U.S.A

3

Sparse or Dense-Message Passing (MP) or Approximate Message Passing (AMP) for CompressdeSensing Signal Recovery

Asad Mahmood, Jaewook and Heung-No Lee

2013 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, University of Victoria, Victoria, B.C., Canada

4Exact Outage Probability of Two Nodes for Cooperative Networking using GF(4)

Jin-Taek Seong and Heung-No Lee

14th IEEE International Workshop Signal Processing Advances in Wireless Communications, Darmstadt, Germany

5 Design of Dry Electrode for Wireless BCI systemsSeungchan Lee, Younghak Shin, Soogil Woo, Kiseon Kim and Heung-No Lee

35th IEEE EMBC 2013

6Random optical scatter filters for spectrometers: Implementation and Estimation

Woong-Bi Lee, J. Oliver, Seung-Chul Kim, and Heung-No Lee

Optics and photonics congresses: Applied Industrial Optics –Spectroscopy, Imaging, & Metrology, Arlington, Virginia





5/6

No. Type of

PublicationsTitle



(yyyymm)

7

International Conference

Design of Dry Electrode for EEG based BCI systems

Seungchan Lee, Younghak Shin, Soogil Woo, Kiseon Kim and Heung-No Lee

5th International BCI Meeting

8

Performance Enhancement by Sparse Representation of EEG Signals for Motor Imagery Based BCI systems

Younghak Shin, Seungchan Lee, SoogilWoo and Heung-No Lee


9Exact Outage Probability and Power Allocation of Two Nodes in Cooperative Networks


2013 IEEE WCNC(2013 IEEE Wireless Communications and Networking conference)

pp. 2751-2756

10Dry Electrode Design and Performance Evaluation for EEG based BCI systems


2013 IEEE International Winter Workshop on Brain-Computer Interface

pp. 2-31 ~ 2-32

11Performance Increase by using a EEG Sparse Representation based Classification Method

Younghak Shin, Seungchan Lee, Soogil Woo and Heung-No Lee

2013 IEEE ICCE(2013 IEEE International Winter Workshop on Brain-Computer Interface)

pp. 205~207





6/6

No. Type of

PublicationsTitle



(yyyymm)

1

Domestic Conference

BCI 시스템의 건식전극 설계 및 성능 분석

Soogil Woo, Younghak Shin, Seungchan Lee, Jongmok Shin, and Heung-No Lee

2013년도대한전자공학회하계종합학술대회

2압축 센싱신호 복구를 위한 AMP(Approximate Message Passing)의 재분석

Hyeong-ho Baek, Sang-Jun Park, Jeong-Min Ryu, and Heung-No Lee

2013 하계학술대회, 한국통신학회

pp.701-702

3 압축 센싱을 이용한 초음파 이미지의 신호 복원

Pavel Ni, Jin-Taek Seong, Hwanchol Jang, Sangjun Park, Jeong-Min Ryu, Heung-No Lee


pp.769-771

4협력적 무선 다중 접속 망에서 네트워크 부호를이용한 릴레이 공격 감지 방법

Woong-Bi Lee, Jusung Kang, J. Oliver, and Heung-No Lee

2013 하계학술대회, 한국통신학회

pp.758-759

5BCI 시스템을 위한 Dry 전극의 설계 및 임피던스성능 비교

Seungchan Lee, Younghak Shin, Soogil Woo, and Heung-No Lee

HCI Korea 2013 Pp. 773-775

6두 노드의 협력 네트워크에서 비이진 네트워크코딩을 이용한 Outage Probability


2013년동계종합학술발표회, 한국통신학회(KICS)

pp. 635-636

7A new signal processing technique for improving resolution of spectrometers

J. Oliver, WoongBi Lee , SangJun Park , and Heung-No Lee

2013년동계종합학술발표회, 한국통신학회 (KICS)

pp. 62-63

Brain Computer Interface (BCI) Group

- INFONET Workshop 2013 –

Younghak Shin*, Seungchan Lee, Soogil Woo



BCI team


Speaker : Younghak Shin

Jan. 7th, 2014



Research Achievements in 2013 – BCI team


SCI journal International conference

Domesticconference

Book chapter patent

0 5 4 2 1

We took the GIST department project in 2013.

- Title is wireless BCI system development

We will apply same project in 2014.

1/20



Research Achievements in 2013 - SYH

PublishedUnder Review

CurrentlyWriting/Revising

CategoryAcknowledge

SCI Non-SCIInt. Dom. Int. Dom. CS Network MT-IT IMSE

32 V

1 V1 1 V

11

Title AuthorsJournal/

Conference Name

Page Pub. Date

Performance Enhancement by Sparse Representation of EEG Signals for Motor Imagery Based BCI systems

Younghak Shin, SeungchanLee, Soogil Woo and Heung-

No Lee


2013.06.03

Performance Increase by using a EEG Sparse Representation based Classification Method

Younghak Shin, Seungchan Lee,Soogil Woo and Heung-No

Lee2013 IEEE ICCE 2013.01.11

Performance Enhancement by using EEG Sparse Representation for Motor Imagery based BCI systems

Younghak Shin, SeungchanLee, Soogil Woo and Heung-

No Lee

The 7th International

Symposium for Aging(ISA)

2013.11.22

Under Review Date

ExpectedDecision Date

ExpectedSubmision

Date

Expected FirstDecision Date

TargetJournal/Conference

2014.1.15 Journal of Neuroscience Methods2014.02.15 ICASSP 2014


2/20



Research Achievements in 2013 - LSC



CategoryAcknowledge

SCI Non-SCIInt. Dom. Int. Dom. CS Network MT-IT

5

1 V1 V1 V1 V

1 V0

0


Conference Name

Page Pub. Date

A Review of Wireless Brain-Computer Interface systemsSeungchan Lee, Younghak Shin,

Soogil Woo, Kiseon Kim and Heung-No Lee

Brain-Computer Interface – Recent

Progress and Future Prospects (Book)

Chapter 11 June, 2013

Design of Dry Electrode for Wireless BCI systemsSeungchan Lee, Younghak Shin, Soogil Woo, Kiseon Kim and Heung-No Lee

35th IEEE EMBC 2013 SaD 02.25 July 3, 2013

Design of Dry Electrode for EEG based BCI systemsSeungchan Lee, Younghak Shin, Soogil Woo, Kiseon Kim and Heung-No Lee


Article ID: 91 June 3, 2013

Dry Electrode Design and Performance Evaluation for EEG based BCI systems



pp. 2-31 ~ 2-32

Feb. 18, 2013

BCI 시스템을 위한 Dry 전극의 설계 및 임피던스 성능 비교Seungchan Lee, Younghak Shin, Soogil Woo, and Heung-No Lee

HCI Korea 2013 pp. 773-775 Jan. 30, 2013


3/20



Summary of 2013- LSC

Purpose: Development of wireless BCI systems• System design

• Active dry electrodes

• Low power embedded system


4/20



Research Achievements in 2013-Soogil



CategoryAcknowledge


3V VV

V V


Conference Name

Page Pub. Date

BCI 시스템의 건식전극 설계 및 성능 분석Soogil Woo, Younghak Shin, Seungchan Lee, Jongmok Shin, and Heung-No Lee


1153 Jun. 19, 2013

Design of Wireless BCI systems and application developmentSoogil Woo, Younghak Shin, Seungchan Lee, Jongmok Shin, and Heung-No Lee

The 7th International Symposium for Aging(ISA)

Poster Nov. 22, 2013

Review of Applications for wireless Brain Computer Interface systems Soogil Woo, Younghak Shin, Seungchan Lee, Jongmok Shin, and Heung-No Lee

IGI Global(Bookch) 2014. 03

Under Review Date


ExpectedSubmision

Date




5/20



Summary of 2013- Soogil

Motivation

• There are no security communication mechanism among people using wireless BCIsystem.

Purpose

• We aim to develop a secret communication application based on Android smartphoneusing the wireless BCI system.


Communication

6/20



My research work

L1 minimization is the most important part in SRC.

Also the most computation cost of SRC is generated in L1 min.

I have applied fast L1 min. such as Homotopy and FISTA into SRC scheme.

I have compared classification performance of fast L1 based SRC with SVM.

< Signal processing procedure >


7/20



My research work

Dictionary design and linear sparse representation model• L1 min. is used in sparsification step of SRC

Sparsification step Identification step


8/20



My research work Experimental Data sets

• we use nine data sets.

• These data sets acquired from five healthy male and four female subjects

• These data sets contain EEG signals generated by the left and right hand motor imagery based BCI experiment

• The number of total trials is 100 for each instruction

• The sampling rate of these data sets is 512 samples per second

• The number of EEG channels are 64


9/20



My research work Average classification accuracy and computational time using SMO based

SVM, SRC_BP, SRC_homotopy and SRC_FISTA. For each subject, average result is calculated when the number of CSP filters k is varied from 1 to 32.

Subject

SVM SRC_BP SRC_homotopy SRC_FISTA

Accuracy (%)

Speed (sec)

Accuracy (%)

Speed (sec)Accuracy

(%)Speed (sec)

Accuracy (%)

Speed (sec)

A 92.91 8.53 95.20 9.10 94.89 7.48 95.52 8.13

B 82.11 9.45 87.63 9.12 87.45 7.55 87.28 8.10

C 96.70 8.54 96.95 9.13 97.08 7.59 97.58 8.08

D 84.30 8.99 88.78 9.15 88.44 7.52 88.52 8.10

E 91.03 8.66 93.78 9.17 94.69 7.51 94.45 8.11

F 91.42 8.54 93.44 9.16 93.06 7.53 94.36 8.13

G 95.16 8.38 97.22 9.15 97.06 7.52 97.17 8.17

H 95.97 8.52 97.19 9.16 97.92 7.53 98.19 8.14

I 85.92 9.25 89.55 9.15 91.28 7.53 90.28 8.12

Mean 90.61 8.76 93.30 9.14 93.54 7.53 93.71 8.12

Std. 5.32 0.38 3.78 0.02 3.80 0.03 4.05 0.03

p-value p < .01 p < .01 p < .001


10/20



My research work Comparison of classification accuracy using box plots. The red line denotes the

median classification accuracy, the lower and upper side of the blue box represents the 25% and 75% quartiles and the lower and upper side black line indicates the minimum and maximum value respectively.


11/20



My research work Average classification accuracy and computation time over all nine subjects

when the number of CSP filters is varied from 1 to 32. Black line indicates the classification accuracy of the SVM method. Red, blue and green line indicates the SRC with basis pursuit, homotopy and FISTA respectively.


12/20



My research work Results from public data

• We evaluate the SVM and fast SRC methods using the public motor imagery dataset

• We use the dataset of BCI competition III (dataset IVa)

• This data obtained from five different healthy subjects using the 118 EEG channels.

• Each subject data consist of 140 trials data per each class of motor imagery (i.e., right hand and right foot)


13/20



My research work Average classification accuracy and computational time over all five subjects

when the number of CSP filters is varied from 1 to 32. Black line indicates the SVM method. Red, blue and green line indicates the SRC with basis pursuit, homotopy and FISTA respectively.


14/20



My research work

Conclusions• In this study, we evaluate the performance of the fast L1 minimization based

SRC methods for the motor imagery based BCI application.

• For this purpose, recent efficient L1 minimization tools such as homotopy and FISTA are applied into SRC scheme.

• We use two-class motor imagery datasets obtained from our motor imagery experiment and public motor imagery dataset.

• We have shown that the classification accuracy of fast L1 based SRC methods, SRC_homotopy and SRC_FISTA, clearly outperform SVM method.

• Also, the computational time of fast L1 based SRC methods is comparable to SVM.


15/20



other research work

Motivation & Goal • In the EEG based BCI field, the most widely used classifier is linear

classification method such as, LDA (linear discriminant analysis) and SVM(support vector machine).

• Only few study applied HMM based classification method for BCI application.

• In this study, I aim to apply HMM classification method for motor imagery based BCI systems.

• I will use CSP(common spatial pattern) and band power as feature extraction tool for classification.

• Finally, I will compare the classification performance of HMM with that of conventional LDA and SVM method using experimental motor imagery dataset.


16/20



other research work

HMM modeling• For each class, we modeled 2 state ergodic HMM with three gaussian mixtures

• I use the matlab HMM toolbox to model HMM

• Initial parameters are set to random values.

• Using EM algorithm, parameters are re-estimated:

• Using the forward algorithm (evaluation problem), likelihood value is calculated to determine which models are similar to test signal.


S1 S2

Right hand model Right foot modelThree gaussian mixtures

S1 S2

( ) A,B,πˆ ˆˆ ˆ( ) A,B,π

1 2( ) ( )C CP P

X Φ X Φ

17/20



other research work

Results Comparison• Number of state : 2 , Number of Gaussian mixtures : 3

• 6 CSP filters for all classification methods

• 7-fold cross-validation


0

10

20

30

40

50

60

70

80

90

100

1 2 3 4 5 AVG

LDA

SVM

HMM

subject LDA SVM HMM

1 91.07 97.5 98.21

2 88.92 96.07 95.35

3 91.42 97.14 95.35

4 78.92 93.21 92.14

5 52.85 57.85 61.42

Avg. 80.63 88.35 88.49

18/20



other research work

Conclusions• In this study, we apply the HMM classification for motor imagery based BCI

system.

• HMM clearly outperform LDA and shows similar accuracy with SVM

• We can improve HMM performance by optimizing the parameters

• For the running time, HMM is more slow than LDA and SVM

• For precise performance evaluation we need to apply more dataset.


19/20



Research Plan for 2014

New BCI experiment

• Non-motor imagery, new neurophysiological experiment such as pain, auditory and so on.

Signal processing - Adaptive classification of SRC

Submit revised journal paper

• Target journal : Journal of Neuroscience Methods

• Predicted resubmission : Jan. 2014

Conference paper

• I want to submit a paper to 6th International Brain-Computer Interface Conference 2014

• submission deadline is March 15, 2014.


20/20



Wireless BCI system and their applications


Speaker : Lee Seung-Chan

Jan. 7th, 2014






CategoryAcknowledge


5

1 V1 V1 V1 V

1 V0

0


Conference Name

Page Pub. Date

A Review of Wireless Brain-Computer Interface systemsSeungchan Lee, Younghak Shin,

Soogil Woo, Kiseon Kim and Heung-No Lee

Brain-Computer Interface – Recent

Progress and Future Prospects (Book)

Chapter 11 June, 2013

Design of Dry Electrode for Wireless BCI systemsSeungchan Lee, Younghak Shin, Soogil Woo, Kiseon Kim and Heung-No Lee

35th IEEE EMBC 2013 SaD 02.25 July 3, 2013

Design of Dry Electrode for EEG based BCI systemsSeungchan Lee, Younghak Shin, Soogil Woo, Kiseon Kim and Heung-No Lee


Article ID: 91 June 3, 2013

Dry Electrode Design and Performance Evaluation for EEG based BCI systems



pp. 2-31 ~ 2-32

Feb. 18, 2013

BCI 시스템을 위한 Dry 전극의 설계 및 임피던스 성능 비교Seungchan Lee, Younghak Shin, Soogil Woo, and Heung-No Lee

HCI Korea 2013 pp. 773-775 Jan. 30, 2013


1/6



Summary of 2013

Wireless BCI systems• Motivations : Closed loop real-time neuro-feedbacks using wireless BCI

systems


2/6



Summary of 2013

Development of wireless BCI systems• System design using flexible materials with multiple electrode positions

• Active dry electrodes for convenient installation and high quality EEG signal

• Low power embedded system for long-term use


3/6



Summary of 2013

Book chapter publication• Publisher : In-tech

• Book title : Brain-Computer Interface Systems - Recent Progress and Future Prospects

• Contribution : Chapter 11 Review of Wireless Brain-Computer Interface Systems

• Most downloaded chapter

• Viewed 4503, downloaded 935 (June. 2013 ~ December. 2013)


4/6




Expected research area• System development

• Wireless BCI system design complete and making prototype

• System upgrade (Electrodes, the number of channels)

• Signal processing

• EEG compression on wireless BCI systems

• Adaptive bi-directional leaning framework

• Applications of wireless BCI systems

• Neuro-feedback applications (Monitoring and Training)

• Communication and game applications


5/6




Expected journal publications• Topic : wireless BCI system with active dry electrodes

• Target journal : Journal of Neuroscience Methods

Conference trips• KHCI 2014, Feb. 12-14, 2014

• 6th International Brain-Computer Interface Conference 2014, Sept. 16-19, 2014.


6/6



Title


Speaker : Soogil Woo

Jan. 7th, 2014






CategoryAcknowledge


3V VV

V V


Conference Name

Page Pub. Date

BCI 시스템의 건식전극 설계 및 성능 분석Soogil Woo, Younghak Shin, Seungchan Lee, Jongmok Shin, and Heung-No Lee


1153 Jun. 19, 2013

Design of Wireless BCI systems and application developmentSoogil Woo, Younghak Shin, Seungchan Lee, Jongmok Shin, and Heung-No Lee

The 7th International Symposium for Aging(ISA)

Poster Nov. 22, 2013

Review of Applications for wireless Brain Computer Interface systems Soogil Woo, Younghak Shin, Seungchan Lee, Jongmok Shin, and Heung-No Lee

IGI Global(Bookch) 2014. 03

Under Review Date


ExpectedSubmision

Date




1/2



Summary of 2013

Motivation

• There are no security communication mechanism among people using wireless BCIsystem.

Purpose

• We aim to develop a secret communication application based on Android smartphoneusing the wireless BCI system.


Communication

2/2

Compressed Sensing (CS) Group


Sangjun Park *, Hwanchol Jang, Oliver,

Pavel, Hyeongho Baek, Nitin



Achievements related to Compressed Sensing- INFONET Workshop 2013 -

Speaker : Sangjun Park

January 7, 2014




PublishedUnder

Review


Category

SCI Non-SCI

Int. Dom. Int. Dom.

8

1

1

2

4

1 1

6 6


International Journal ( Optics Express)

Domestic Journal (KICS Journal)

Title Authors Journal / Conference Name Page Pub. Date

Filters with random transmittance for improving resolution of filter array based spectrometers

Oliver, Woongbi Lee, and Heung-No Lee

Optics Express 3969 - 3989 Feb. 2013

Introduction and Performance Analysis of Approximate Message Passing (AMP) for

Compressed Sensing Signal Recovery

Hyeongho Baek, Jaewook Kang, and Heung-No Lee KICS journal 1029 - 1043 Nov. 2013

1/8



Research Plans in 2014

PublishedUnder

Review


Category

SCI Non-SCI

Int. Dom. Int. Dom.

1 1

6 6


International Journal ( IEEE Trans. On Signal Processing, IEEE Trans. On. Information Theory, Signal Processing, IEEE Transaction on Ultrasonics, Ferroelectrics and Frequency and etc. )

International Conference (ISIT 2014, ITW 2014, IEEE International ultrasound symposium)

2/8



Summary of 2013 (Oliver)

Proposed a new generation portable spectrometers based on random filter arrays

• Innovation : Design of analog, random optical filters using thin-film optical design

Derivation of new eigenvalue distributions for real-valued Wishart matrices• Closed-form eigenvalue distributions (for iid case)

• Closed-form distributions for correlated case is still an open problem


0 1 2 3 4 50

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

Values

Am

plitu

de

AnalyticalSimulation

0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.80

0.5

1

1.5

2

2.5

Values

Am

plitu

de


Fig. 1. Largest eigenvalue distribution of Wishart matrix Fig. 2. Smallest eigenvalue distribution of Wishart matrix

3/8



Summary of 2013 (Hwan-Chol)

Circular Sphere Decoding

New constraint is developed

Complexity analysis is provided

Apply CS to Turbid Lens Imaging systems

TLI: Exploit the turbidity to improve the image resolution

Many analogy to CS.


4/8



Summary of 2013 (Sang-Jun)


In the literature, there are results related to the above performance limits as given in below Table 1.

Note that non-zero coefficients are i.i.d.random in Nehorai10.

Duarte13 : Measurement Bounds for Sparse Signal Ensembles via Graphical Models, IEEE Transaction on Information Theory, 2013

Rao13: Support recovery of sparse signals in the presence of multiple measurement vectors, IEEE Transaction on Information Theory, 2013

Nehorai10: Performance analysis for sparse support recovery, IEEE Transaction on Information Theory, 2010

5/8



Summary of 2013 (Hyeong-Ho)

Introduction and performance analysis of AMP algorithm

Application on the UWB channel estimation


Approximate message passing algorithm CS channel estimation architecture

1

1 ' 1 1

( )

1

t T t tt

t t t T t tt

x A z x

z y Ax z A z x

where : the current esimation

: the current residual.

: transpose of

: soft threshold function

' : derivative soft threshold function

t N

t M

T

x

z

A A

: average of a vector

6/8



Summary of 2013 (Nitin)

Collected information of various holographic techniques using compression

Found 40~45 relevant papers.

Started writing a paper on Compression techniques.


Digital Holography

7/8



Summary of 2013 (Pavel)

Literature survey about CS in Ultrasound total 21 papers.

Alpinion equipment has arrived

2 term projects in coursework:

• Search engine using language model, Speech Recognition class

• Augmented reality navigation app for iPhone, Objective-C programming class


8/8



Performance limits of joint support set reconstruction in the presence of noises


Speaker : Sangjun Park

January 7, 2014






CategoryAcknowledge


11 V

V0

22 V


Conference Name

Page Pub. Date

A study for establishing a sufficient condition for successful joint support set reconstruction

Sangjun Park, Jeong‐Min Ryuand Heung‐No Lee

ITC CSCC 2013 Jul. 2013

Under Review Date


ExpectedSubmision

Date



Jan. 2014 May. 2014 IEEE Trans. On. Info. Theory

Mar. 2014 Jul. 2014 Signal Processing


1/7



Summary of 2013

Analyzed performance limits of joint support set reconstruction in the presence of noises.

• An upper bound on a failure probability is presented.

• Two sufficient conditions on M.

• A relation between M and S is established.

• A lower bound on the square of the smallest non-zero magnitude is established.


2/7



Summary of 2013 (contd.)


In the literature, there are results related to the above performance limits as given in below Table 1.

Note that non-zero coefficients are i.i.d.random in Nehorai10.

Duarte13 : Measurement Bounds for Sparse Signal Ensembles via Graphical Models, IEEE Transaction on Information Theory, 2013

Rao13: Support recovery of sparse signals in the presence of multiple measurement vectors, IEEE Transaction on Information Theory, 2013

Nehorai10: Performance analysis for sparse support recovery, IEEE Transaction on Information Theory, 2010

3/7





The results are incomplete owing to below reasons.

Duarte13 • There is no noise.

• When we consider the presence of noise, their proposed algorithm does not work. So that their analysis is not correct.

Rao13 • A relation between M and S are obscure whenever sparse vectors are distinct.

• Evaluating their upper bound is NP-Hard

Nehorai10• There is no difference between its sufficient condition and that for support set

reconstruction.

• Evaluating their upper bound is NP-Hard as well.

4/7





On the other hand, our results are summarized as follows:

Evaluating our upper bound is not NP-Hard, (e.g., it is easily evaluated)• Thus, it can be used as a performance criterion.

Based on one of our sufficient conditions, we realize that there is an inversion relation between M and S.• Note that this relation is valid even sparse vectors are distinct.

When S is sufficiently large, M > K is sufficient.• Note that Duarte13 also present it as their sufficient condition without the presence of

noises.

• Thus, we assert that increasing S reduces effects of noises.

5/7





A lower bound on the square of the smallest non-zero magnitude is established.• Increasing the noise variance leads to increasing the lower bound

• Decreasing M leads to increasing the lower bound.

6/7




Submit a journal paper on the above performance limits.• Target journal : IEEE Trans. On Info. Theory.

• Predicted submission : Jan. 2014

Submit a journal paper on non-negative sparse recovery algorithm.• Target journal : Signal Processing.

• Predicted submission : Mar. 2014

Conference plan / trips• Submit papers to ISIT (Jan. 19, 2014), ITW (May 2014)


7/7




Speaker : Hwanchol Jang

Jan. 7th, 2014





Published

Under Revie

w

Currently

Writing/

Revising

Category

Title (essential) Authors (essential)Journal/

Conference Name

SCI Non-SCI

Int.Dom.

Int.Dom.

0 0 4

V Circular Sphere DecodingH. Jang, S. Nooshabadi, H. Lee.

IEEE Trans. on Wireless Comm.

VCompressive sensing recovery for noise reduction in TLI

H. Jang, C. Yoon, E. Chung, W. Choi, H. Lee.

Optics Express

V Multicast via compressive sensing H. Jang, H. Lee. IEEE Comm. Lett.

V Complexity Predicted CSDH. Jang, S. Nooshabadi, H. Lee.

IEEE Trans. on Wireless Comm.

PendingCompleti

onPending


Category

TitleInt. Dom.

2 0 0CSD #1

CSD #2

1/3



Summary of 2013

Circular Sphere Decoding

New constraint is developed

Complexity analysis is provided

Apply CS to Turbid Lens Imaging systems

TLI: Exploit the turbidity to improve the image resolution

Many analogy to CS.


2/3




Submit a journal paper on Circular Sphere Decoding for MIMO detection.

• Target journal : IEEE trans. on Wireless Comm.

• Predicted submission : 8 Jan. 2014

Submit a journal paper on Turbid Lens Imaging (TLI) systems.

• Target journal : Optics Letters and Optics Express.

• Predicted submission : 22 Jan. 2014

Submit a journal paper on compression of holography.

• Target journal : IEEE Comm. Lett.

• Predicted submission : Feb. 2014

Submit a journal paper on PRED-CSD.

• Target journal : IEEE trans. on Wireless Comm.

• Predicted submission : Apr. 2014


3/3



Eigenvalue-based Analysis for Compressive Sensing Systems


Speaker : Oliver

January 7, 2014






CategoryAcknowledge


41 V

1 1 1 V0

11 V


Conference Name

Page Pub. Date

Filters with random transmittance for improving resolution of filter array based spectrometers

Oliver, Woongbi Lee, and Heung‐No Lee

Optics Expres 3969–3989 Feb. 2013

Evaluation of resolution improvement capability of a DSP technique for filter‐array‐based spectrometers

Oliver, Woongbi Lee, SangjunPark, and Heung‐No Lee

한국통신학회(저널)

497‐502 June 2013

A new signal processing technique for improving resolution of spectrometers

Oliver, Woongbi Lee, SangjunPark, and Heung‐No Lee

한국통신학회 62‐63 Feb. 2013

Random Transmittance Based Filter Array Spectrometers: Sparse Spectrum Recovery And Resolution Improvement

Oliver, WoongBi Lee and Heung‐No Lee

IEEE GlobalSIP Dec. 13

Under Review Date


ExpectedSubmision

Date



Jan. 2014 May. 2014 IEEE Trans. On Sig. Proc.

1/6




Summary of 2013

Proposed a new generation portable spectrometers based on random filter arrays

• Innovation : Design of analog, random optical filters using thin-film optical design

Derivation of new eigenvalue distributions for real-valued Wishart matrices• Closed-form eigenvalue distributions (for iid case)

• Closed-form distributions for correlated case is still an open problem


2/6

0 1 2 3 4 50

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

Values

Am

plitu

de


0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.80

0.5

1

1.5

2

2.5

Values

Am

plitu

de


Fig. 1. Largest eigenvalue distribution of Wishart matrix Fig. 2. Smallest eigenvalue distribution of Wishart matrix




Eigenvalue-based analysis for compressive sensing (CS) systems• Innovation : New eigenvalue-based recovery conditions

In CS systems, we need a measure for the “goodness” of a sensing matrix

• System model: y=Ax, x is a K-sparse signal

Restricted Isometry Property (RIP)

• Smaller the , better the matrix for signal reconstruction (well-conditioned matrices)

Rayleigh quotient

Donoho says


3/6

2

2(1 ) (1 )K K

K K

K

A

x

x

2

2RQ .K K

K

A

x

x2

min max2( ) ( ) .T TK K

K K K K

K

AA A A A

x

x

min max(1 ) ( ) ( ) (1 ) .T T

K K K KK KA A A A





4/6

0 0.05 0.1 0.15 0.2−0.5

0

0.5

1

1.5

2

2.5

3

3.5

= K / M

Max. eigenvaluesMin. eigenvalues

Fig. 3. Plot of extreme values of minimum and maximum eigenvalues of Wishart matrices for various K/M

Dohono’s relation depends on the matrix dimension and cannot be used for finite size matrices

This motivated us to proposes a new (minimum) eigenvalue-based criterion

Our criterion is useful for finding the existence of a Gaussian matrix with a specific RIC,





5/6

TABLE IALGORITHMS, RICS AND MATRIX DIMENSIONS FOR SPARSITY OF 0.1

Algorithm RIC M/N

OMP 0.55

SP 0.59

IHT 0.59

CoSaMP 0.62

1

1

1K K

30.165

K

30.175

K

40.1

K

Aiming to find stricter conditions on the RIC may not be really useful in practice where finite size matrices may not exist with such strict RICs.




Submit a journal paper on Eigenvalue-based analysis for CS systems.

• Target journal : IEEE Trans. On Sig. Proc./ IEEE Trans. On Info. Theo.


Submit a journal paper on framework for realistic sensor systems.

• Target journal : IEEE Trans. On Sig. Proc.

• Predicted submission : July 2014

Submit a journal paper on link between CS and Krylov approaches/Resolution limit of spectrometers : An eigenvalue approach.

• Target journal : IEEE Trans. On Sig. Proc.

• Predicted submission : December 2014

Conference plan / trips• Submit papers to ISIT (Jan. 19, 2014), ITW (May 2014)

6/6




CS in Medical Ultrasound


Ni Pavel

Jan. 7th, 2014






CategoryAcknowledge


1 V V


Conference Name

Page Pub. Date

압축 센싱을 이용한 초음파 이미지의 신호 복원Pavel Ni, Jin-Taek Seong, Hwanchol Jang, Sangjun Park, Jeong-Min Ryu, Heung-No Lee

대한전자공학회하계종합학술대회

769-771 2013. 07. 03


1/3



Summary of 2013

Literature survey about CS in Ultrasound total 21 papers.

Alpinion equipment has arrived

2 term projects in coursework:

• Search engine using language model, Speech Recognition class

• Augmented reality navigation app for iPhone, Objective-C programming class


2/3




Write a master thesis “Compressive Sensing with Application to Medical Ultrasound Imaging”

Submit International Conference or Journal Paper:

• Submit an international conference paper on “Compressive Sensing In Ultrasound”.

• Target conference: IEEE International ultrasound Symposium, Chicago, Illinois

• Submission deadline: April 1. 2014

• Submit a journal paper on “Compressive Sensing In Ultrasound”.

• Target journal : IEEE T Ultrason Ferr,

• Predicted submission : June. 2014


3/3



Application of Compressive Sensing in UWB channel estimation using AMP Recovery Alogorithm


Speaker : Hyeong Ho Baek

Jan. 7th, 2014






CategoryAcknowledge


21 V

1 V

1 1 V V


Conference Name

Page Pub. Date

Reanalysis of Approximate Message Passing (AMP) for Compressed Sensing Signal Recovery

Hyeongho Baek, Sangjun Park, and Heung-No Lee

KICS summer 2013 701-702 June. 19, 2013

Introduction and Performance Analysis of Approximate Message Passing (AMP) for Compressed Sensing Signal Recovery

Hyeongho Baek, Jaewook Kang, and Heung-No Lee KICS journal 1029-1043 Nov. 30, 2013

Ultra wideband channel estimation based compressive sensing and approximate message passing (AMP) algorithm

Hyeongho Baek, Jong Mok Shin, Ju Sung Kang and Heung-No Lee KICS winter 2013

1/3




Summary of 2013

Introduction and performance analysis of AMP algorithm

Application on the UWB channel estimation


2/3

Approximate message passing algorithm CS channel estimation architecture

1

1 ' 1 1

( )

1

t T t tt

t t t T t tt

x A z x

z y Ax z A z x

where : the current esimation

: the current residual.

: transpose of

: soft threshold function

' : derivative soft threshold function

t N

t M

T

x

z

A A

: average of a vector


Gwangju Institute of Science and Technology 3/3


Thank you for attention!



Summary of previous year work and current outlook

Speaker : NITIN RAWAT

Jan. 7th, 2014



Research and academic goals in 2013Overcoming the Diffraction limit using multiple light scattering in a

highly disordered medium

• Our Aim is to know achieve Super Resolution by using Compressive Sensing technique.

Numerical Aperture (NA= n sinθ)It characterizes the range of angles over whichthe system can accept or emit light.

• n is the index of refraction • θ is the half angle of the maximum cone of light

Basic Terms


1/6



• Expansion of laser beam, with beam expander which passes through the mirror.

• After the mirror, we can see the expansion on the SLM.

• SLM reflects back the light to the beam splitter.

• Light focuses on to the turbid medium through condenser and then to objective lens.

• We captured the response with the help of a high speed camera.

Summary of 2013

Digital holographic setup


2/6



Summary of 2013


1. Holographic compression methods

2. Optical Encrypted holography

3. Holography using compressivesensing method

4. Phase-shifting digital holographycompression

5. Holographic Vector quantizationcompression approach

Section includes 12 Papers with 4 sub-sections



Section includes 5 Papers

Section includes 3 Papers

6. Summary and outlook7. Acknowledgments8. References

3/6



Summary of 2013

Collected information of various holographic techniques using compression

Found 40~45 relevant papers.

Started writing a paper on Compression techniques.


Digital Holography

4/6






CategoryAcknowledge


1 1 V


Conference Name

Page Pub. Date

Compression techniques on digital holography: A reviewReviews of modern physics

Under Review Date


ExpectedSubmision

Date



7th February Reviews of modern physics


5/6




Submit a Review article on Compression techniques using digital holography.

• Target journal : Reviews of Modern Physics


Conference trips

• N/A


6/6

Network Group


Jintaek Seong*, Woongbi Lee, Jeongmin Ryu,

Zafar, Jusung Kang, Jongmok Shin

INFONET Workshop Jan. 2014


Jan. 7, 2014

Gwangju Institute of Science and Technology (GIST)


Plan of Individual ResearchJin-Taek Seong



Achievement of Network Group (2013)

1

PublishedCategory

PatentSCI Non-SCIInt. Dom. Int. Dom.

6 2 3 1 4

Title Journal/Conf. Status

An Inventory Model-based Spectrum Pooling for Wireless Service Provider and Unlicensed Users (Dr. Byun’s work)

Computer Communications

Published

Necessary and Sufficient Conditions for Recovery of Sparse Signals over Finite Fields

IEEE Comm. Lett. Published

Exact Outage Probability of Two Nodes for Cooperative Networking using GF(4)

SPAWC Published

Exact Outage Probability and Power Allocation of Two Nodes in Cooperative Networks

WCNC Published

Random optical scatter filters for spectrometers: Implementation and Estimation

OSA-Applied Industrial Optics

Published

협력적무선다중접속망에서네트워크부호를이용한릴레이공격감지방법 한국통신학회 Published

유한체의 희소신호복구방법및장치 Domestic Registered

METHOD AND APPARATUS FOR SPARSE SIGNAL RECONSTRUCTION OVER FINITE FIELDS, AND RECORDING MEDIA INCLUDING METHOD THEREOF

International Pending

무선다중접속망관리시스템및방법 Domestic Pending

무선다중접속망에서노드감시시스템및방법 Domestic Pending



Goal of Network Group (2014)Quantity goal

• International Journal (IEEE, ACM, Elsevier, etc)

• Domestic Journal (전자공학회논문, 한국통신학회논문, etc)

• Patent

Quality goal• Propose new projects (연구재단, 지식경제부)

• Actively attend the latest workshops and short courses (massive MIMO, dynamic resource management, wireless smart grids, body area networks, …)

Goal of ResearchPatentSCI Non-SCI

Int. Dom. Int. Dom.

3 1 3 2 2

2/6



Summary of Seong’s work (2013)Published

(Acc.)Under Review

CurrentlyWriting

CategoryPatentSCI Non-SCI

Int. Dom. Int. Dom.

4 2 1 4 3 2

Title Journal/Conf. Status

Union bound analysis without explicit codeword enumeration for the concatenation of LDPC code with the space-time block code (W1)

J. Franklin Instit. Under Review

Necessary and Sufficient Conditions for Recovery of Sparse Signals over Finite Fields (W2)

IEEE Comm. Lett. Published

Predicting the Performance of Cooperative Wireless Networking Schemes with Random Transmission Matrices (W3)

IEEE TCOM Under Review

Network Status Monitoring based Multiplicative Finite Fields (F1) IEEE TWC Writing

Exact Outage Probability of Two Nodes for Cooperative Networking using GF(4) SPAWC Published

Exact Outage Probability and Power Allocation of Two Nodes in Cooperative Networks

WCNC Published

Evaluation Framework for Reconstruction of Messages in Cooperative Coding Schemes of Multiple-Sources and Multiple-Relays

ICNC Accepted

유한체에서압축센싱복호를위한메시지전달알고리즘 Domestic Registered

METHOD AND APPARATUS FOR SPARSE SIGNAL RECONSTRUCTION OVER FINITE FIELDS, AND RECORDING MEDIA INCLUDING METHOD THEREOF

International Pending

3/6



Research (W3) Peer review: IEEE Trans. Comm.

Basic idea: Each connectivity between nodes can be represented as a random variable

Predicting the Performance of Cooperative Wireless Networking Schemes with Random Transmission Matrices

-2 -1 0 1 2-2

-1.5

-1

-0.5

0

0.5

1

1.5

2

X-coordinate

Y-c

oord

inat

e

Scenario II

user relay base station

R6

R2R4

R1

R3 R5

4/6



Goal of Future ResearchCompletion: submitted papers

• W1 (Accepted) - Union bound analysis without explicit codeword enumeration for the concatenation of LDPC code with the space-time block code

• W3 (Accepted) - Predicting the Performance of Cooperative Wireless Networking Schemes with Random Transmission Matrices

• F1 (Submitted) - Network Status Monitoring based Multiplicative Finite Fields

Target conferences:• GLOBECOM, ISIT, INFOCOM

Goal of Research

International Journal(Accepted/Submitted)

Conference

2/1 2

5/6



Research (F1) Submission: IEEE Trans. Wirel. Comm. (2014.04)

Basic idea: Suppose that each link fails with sparse probability. We can monitor all link statuses in a network with small measurements. We use multiplicative property of finite fields. We propose a recovery algorithm, and analyze monitoring performance.

Network Status Monitoring based Multiplicative Finite Fields

1 1 5 6y x x x

2 2 6 7y x x x

3 3 7 8y x x x

4 4 5 8y x x x

If any of links in a path fails, the measurement value is 0 due to multiplicative finite fields.

6/6



Network Coding for Security in Wireless Multiple Access Networks& Random Transmittance Spectrometers for high resolutions


Speaker : Woongbi Lee

Jan. 7th, 2014






CategoryAcknowledge


21 V

1 V V0 0

211 V


Conference Name

Page Pub. Date

Random optical scatter filters for spectrometers: Implementation and Estimation

Woongbi Lee, J. Oliver, Seung-Chul Kim, Heung-No Lee

OSA-Applied Industrial Optics

Jun. 27, 2013

협력적 무선 다중 접속 망에서 네트워크 부호를 이용한 릴레이 공격감지 방법

이웅비, 강주성, J. Oliver, 이흥노 KICS Summer 2013 Jun. 22, 2013

Under Review Date


ExpectedSubmission

Date



Jan. 2014 May 2014

Feb. 2014 May 2014 Optics Letters


1/3



Summary of 2013

Using Network codes for security in wireless multiple access networks in the presence of misbehaviors or pollution attacks

In the grating-based spectrometers, implementation and estimation of random scattering filters


Wireless Multiple Access Networks Spectrum Model of Scattering Filter Added Grating-Based Spectrometers

2/3




Submit a journal paper on network coding for security in WMA networks

• Target journal :


Submit a journal paper on implementation and estimation of random transmittance filters for miniature spectrometers

• Target journal : Optics Letters


Conference trips

• N/A


3/3




Speaker : Jeong-Min Ryu

Jan. 7th, 2014




1/4




CategoryAcknowledge


1V V V

Under Review Date


ExpectedSubmision

Date



2014.02.03 AEU or Information Theory


Conference Name

Page Pub. Date

Exact Finite-Length analysis for BEC Jeong-Min Ryu, Heung-No LeeIEEE Info.Theory or AEU



Summary of 2013

In the first semester, I took a course for the channel coding theory. From the course, I simulated the 4-ary LDPC codes, turbo codes and polar codes.

- I tried to apply some up-sampling DFT methods to the channel coding but it was failed.

For the stopping set analysis, some recursions to count certain graphs were developed. However, that is not exact and needs to be more studied.

- Jonson already proposed the method to get the approximate ensemble averages.

- We need to find another directions for the stopping sets.


2/4



Summary of 2013

I have completed MTIT project reports. I often got in trouble for the writing the reports since the MTIT report should written by Korean and the MTIT researches have been done by only Zafar.

- During the last year, some research of the new MTIT plan have not been done yet. I and Zafar have focused on completing the last paper.

- It is hard to proceed the project with writing reports by only one foreigner. We needs one Korean researcher to work together with Zafar.


3/4




Superposition coding for LDPC codes or polar codes

Research for the stopping sets

Submit a journal paper on stopping set analysis

• Target journal : IEEE information theory or AEU


4/4




Network Coding for Cooperative Communication


Speaker : ZAFAR IQBAL

Jan. 7th, 2014






CategoryAcknowledge


31 V V V1 V V1 V V


Conference Name

Page Pub. Date

Network Coding for Wireless Sensor Networks over Underwater Acoustic Channels

Zafar Iqbal, Hyeong-Won Jeon, and Heung-No Lee

Area Monitoring by Using Cooperative Wireless Sensor Networks

Zafar Iqbal, Kim Kiseon, and Heung-No Lee

TV White Space Fair Sharing among Coexistence Managers in IEEE 802.19.1

IEEE Trans. Wireless Communication

Under Review Date


ExpectedSubmision

Date



Jan. 2014 Apr. 2014 IEEE Journal of Oceanic Engineering

Aug. 2014 Nov. 2014 IEEE Trans. Wireless Communication

Apr 2014 Jun 2014 IEEE Trans. Wireless Communication


1/3



Summary of 2013

Designed a new cooperative spectrum sensing technique for cognitive radio networks.

Writing a paper on area monitoring by using cooperative wireless sensor networks.

Wrote a paper on the network coding for underwater acoustic sensor networks.


Underwater Wireless Sensor Network Cognitive Radio Network

2/3




Submit a journal paper on network coding for underwater acoustic sensor networks.

• Target journal : IEEE Journal of Oceanic Engineering


Submit a journal paper on cooperative spectrum sensing for cognitive radio networks.

• Target journal : IEEE Trans. Wireless Communications

• Predicted submission : Aug. 2014

Submit a journal paper on TV White Space Spectrum Sharing.

• Target journal : IEEE Trans. Wireless Communications

• Predicted submission : Apr. 2014

Conference trips

• N/A


3/3



Summary of 2013 and Individual Research Plan for 2014


Speaker : JuSung Kang

Jan. 7th, 2014



Contents

1/8

Contents | Summary of 2013 | Research Plan for 2014

Summary of 2013 Research Achievements in 2013

Course works in 2013

Preparing the ADD project

Research Plan for 2014 Doing the ADD project

Course works in 2014

Find the research scenario



Summary of 2013

In 2013, I concentrate on the learning background knowledge of our lab’s research


• I don’t have major achievements yet

• In 2014, I will prepare the paper writing works

2/8



CategoryAcknowledge


0

0

0

Contents | Summary of 2013 | Research Plan for 2014



Summary of 2013

3/8

Following the course works to understand our lab’s research area

Course works in 2013 - 1

• Channel Coding : Shannon’s theorem, Galois fields, convolution code, LDPC code, Turbo code, etc…

• Random Processes : Probability, random variables, random process, Ergodicity, Poisson processes, Markov processes, etc…

• Discrete Mathematics : Basic structures, Algorithms, Number theory, Induction, Recursion, Counting, Relation, etc…

Pass the DQE test : Random Processes, Discrete Mathematics.

Contents| Summary of 2013 | Research Plan for 2014



Summary of 2013

4/8

Course works in 2013 - 2

• Information Theory : Entropy, AEP, Markove chain, Channel capacity, Gaussian channel, MIMO channel, MAC, etc…

• Detection and Estimation : MVUE, CRLB, MLE, BE, Kalman filters, Neyman-Pearson Theorem, etc…

• Wireless communication : Cellular concept, Trunking theory, Propagation models, Rayleigh fading, Diversity, OFDM, Capacity, etc…




Summary of 2013

5/8

Assist the ADD project (EW11)

• Assist the writing work of proposal of ADD project : 1st draft (May), final draft (October)

• Preparing the kick off meeting : December





6/8

Doing the ADD project• Expected interim evaluation : 2014. 06 (Jun)

• Expected outcome on interim evaluation : The technical report about classification method of individual device (개별통신기분류방법에대한기술현황조사서)

• Project plane :

1) Literature survey of classification method (통신신호및개별통신기분류에대한문헌조사)

- Doing the literature survey and write the technical report

2) Doing the project works

- Buy the radio devices

- Extract the Raw data

- Apply the literature surveyed methods on our project scenario and evaluate its result





7/8

Course works in 2014• Following the course works to improve my background knowledge

Find the research scenario Applications of CS

• ‘How to apply the CS technology in communication system’

• Recently, the Non-Orthogonal Multiple Access (NOMA) is considered as post OFDM technique

• NOMA can improve the efficiency of frequency sharing and frequency overlapping

• Survey and study about NOMA and I want to find some research scenario which I could do in our lab

‘Machine learning concept in network level’ or ‘Big data concept’

• Survey and study of these concepts if I have time to do this



Gwangju Institute of Science and Technology 8/8

The End Thank you for listening!




Title


Speaker : Jongmok Shin

Jan. 7th, 2014



Contents

Coursework in Spring semester, 2013

Coursework in Fall semester, 2013

ADD Project

Research plan for 2014


Underwater Wireless Sensor Network Cognitive Radio Network

1/ 7



Coursework in Spring semester,2013

IC5302 Advanced Discrete Mathematics

• Algorithms, Discrete Probability

• Graphs and Trees, Boolean algebra

• Etc.

IC6202 Channel Coding Theory• Galois fields, various channel coding methods

• Etc.

IC5201 Random Process

• Probability, Random variable

• Random vectors, Random processes

• Markov chain

• Etc.

2/ 7



Coursework in Fall semester, 2013

IC5203 Information Theory• Entropy and Mutual Information, Asymptotic Equipartition Property

• Channel capacity, Slepian Wolf

• Etc.

IC6207 Wireless Communications• Cellular concept, Rayleigh fading and Term project

• OFDM and Coded OFDM, Capacity of Wireless Channels

• Etc.

IC7204 Detection and Estimation• Classical Estimation, Bayesian Estimation

• Linear model, Detection

• Etc.


3/ 7



ADD Project(EW-33)

Prepare the Poster and Presentation materials.-Aim: A study on adaptive re-configurable anti-jamming techniques using noise communication techniques

4/ 7



Research Plan for 2014 Finding my research topic among them.1.Bayesian Compressed Sensing

- While conventional CS methods give only the estimated values of a x vector, Bayesian CS method gives Posterior Density Function itself over the x vector.

- Therefore, we could know the trust of each element of the x vector.

- It helps to calculate additionally needed length of measure vectors for guaranteeing estimate performance.

2.Random access technology

-In the random MAC environment where multi-users simultaneously transmit data to one receiver with specific probability, it can be interpreted that detecting which user transmits the data is the same as detecting the sparsity in CS.


5/ 7



Research Plan for 2014(Cont.)

3.Wireless Sensor networks(WSNs)

-Since CS has no need to know the signal correlation structure during compression procedure, CS are useful to WSNs environment.

→ I need to survey these areas more in detail and decide what I am going to dig into before March.

6/ 7



Thank you

7/ 7

Documents

INFONET Workshop 2013