FT/GN/68/00/21.04.15 SRI VENKATESWARA … G. Proakis and Dimitris G.Manolakis, ... Fourth Edition, Pearson Education, Prentice Hall, ... SRI VENKATESWARA COLLEGE OF ENGINEERING

FT/GN/68/00/21.04.15

SRI VENKATESWARA COLLEGE OF ENGINEERING

COURSE DELIVERY PLAN – THEORY Page 1 of 7

Department of Information Technology

LP: IT6502

Rev. No: 00

Date: 26.06.2015

B.Tech : Information Technology Regulation: 2013

Sub. Code / Sub. Name : IT6502/Digital Signal Processing

Unit : I

Unit Syllabus:

SIGNALS AND SYSTEMS 9

Basic elements of DSP – concepts of frequency in Analog and Digital Signals – sampling

theorem – Discrete – time signals, systems – Analysis of discrete time LTI systems – Z

transform – Convolution (linear and circular) – Correlation.

Basic elements of DSP

Objective:

To acquire knowledge signal and systems

Session

No * Topics to be covered Ref

Teaching

Aids

1

2

3

Signals, systems and signal processing.

Basic elements of a Digital signal processing and signal

classification

1,ch: 1(2-6) BB/LCD

4 Concept of frequency in continuous time and discrete time

signals, Sampling Theorem

1,ch:1(12-17)

1(21-28) BB/LCD

5 Discrete time signals-some common discrete time signals,

classification.

1,ch:1(7-11)

1(42-52) BB/LCD

6 Discrete time systems-block diagram representation,

classification ,input output description

1,,ch:2(53-

68) BB/LCD

7

8 Circular convolution and Linear convolution

1,ch:2 (73-

74)

1(472)

BB/LCD

9

10 Problems on convolution and correlation

1,ch:2(75,82,

87,

88,116-121)

BB/LCD

11

12

Z transform and Inverse Z transform

1,ch:3(151-

159)

1,ch:3(184-

195)

BB/LCD

13

14 Analysis of linear time invariant Systems

1,ch:3(179-

82)

1(197-201)

BB/LCD

15 LTI characterized by constant coefficient difference equations 1,ch:3(211,21

3) BB/LCD

Content beyond syllabus covered (if any):

Course Outcome 1: To introduce basic concepts of signal and systems

* Session duration: 50 minutes

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Sub. Code / Sub. Name: IT6502/Digital Signal Processing

Unit : II

Unit Syllabus :

FREQUENCY TRANSFORMATIONS 9

Introduction to DFT – Properties of DFT – Filtering methods based on DFT – FFT

Algorithms Decimation – in – time Algorithms, Decimation – in – frequency Algorithms –

Use of FFT in Linear Filtering – DCT.

Objective: To learn about DFT, its properties, applications and two different FFT

algorithms

Session


Teaching

Aids

16

Introduction to Discrete Fourier Transforms

1,ch:7 (449- 461)

BB/LCD

17 Properties of DFT 1,ch:7(464-480)

BB/LCD

18

Introduction to Fast Fourier Transforms

1,ch:8(511-512)

BB/LCD

19

20

Comparison of DFT & FFT

1,ch:8(511-512)

BB/LCD

21

22 Radix-2 FFT Algorithms-Decimation in Time

1,ch:8(513-523)

BB/LCD

23

24 Decimation in Frequency Algorithm. 1,ch:8(524-527) BB/LCD

25 Use of DFT & FFT algorithms in Linear Filtering, Over lap add and over lap save method

1,ch:7(481-484) BB/LCD

26 DCT 1,ch:7(495-498)

BB/LCD

Content beyond syllabus covered (if any):Over lap add and over lap save method

Course Outcome 2: To introduce discrete Fourier transform and its applications.

* Session duration: 50 mins

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Unit : III

Unit Syllabus :

IIR FILTER DESIGN 9

Structures of IIR – Analog filter design – Discrete time IIR filter from analog filter – IIR filter

design by Impulse Invariance, Bilinear transformation, Approximation of derivatives –

(LPF,HPF, BPF, BRF) filter design using frequency translation

Objective:

To impart knowledge to students about different structures for IIR Systems and Design issues

of IIR filters .The student will learn about the different types of designing a IIR digital filter.

* Session duration: 50 mins

Session


Teaching

Aids

27 Structures for the realization of discrete time systems 1,ch:8(519- 529) BB/LCD

28

29 Design of IIR filter from Butterworth approximation

1,ch:10(717-

720)

2(824-828)

BB/LCD

30

31 Design of IIR filter from Chebyshev approximation 1,ch:10(720-725) BB/LCD

32 IIR filter Design using Approximation of Derivatives. 1,ch:10(701-

706) BB/LCD

33

34

IIR filter Design using Impulse Invariance method. 1,ch:10(707-

711) BB/LCD

35

36 IIR filter Design using Bilinear Transform method.

1,ch:10(712-

716) BB/LCD

37

38

Design of IIR LP,HP,BP filters in Frequency Domain 1,ch:10(730-

734)

1(699,730)

BB/LCD

39

40

Problems in IIR filter Design 1,ch:10(727-739 BB/LCD

Content beyond syllabus covered (if any)

Course Outcome 3: To teach the design of infinite impulse response filters for filtering undesired signals.

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Unit : IV

Unit Syllabus : FIR FILTER DESIGN

Structures of FIR – Linear phase FIR filter – Filter design using windowing techniques,

Frequency sampling techniques

Objective:

To under stand Structures of FIR – Linear phase FIR filter – Filter design using windowing

techniques, Frequency sampling techniques

Session


Teaching

Aids

41 Structures and Realization of FIR Systems. 1,ch:10(660-

662) BB/LCD

42

43

Design of FIR filters-symmetric and anti-symmetric

FIR filters 1,ch:10(659-664)

BB/LCD

44

45

Design of FIR filters using windows 1,ch:10(665-666) BB/LCD

46

47 Summary of all windowing techniques 1,ch:10(666-670) BB/LCD

48

49 Design of FIR filters by frequency sampling method 1,ch:10(671-674) BB/LCD

50

51

Design of Linear Phase FIR filters. 1,ch:10(691-693) BB/LCD

52 Problems in FIR filter Design 1,ch:10(717-725) BB/LCD

Content beyond syllabus covered (if any):Kaiser window

Course Outcome 4: To teach the design of finite impulse response filters for filtering undesired signals.

FT/GN/68/00/21.04.15




Unit : V

Unit Syllabus :

FINITE WORD LENGTH EFFECTS IN DIGITAL FILTERS

Binary fixed point and floating point number representations–Comparison-Quantization noise

–truncation and rounding–quantization noise power-input quantization error-coefficient

quantization error –limit cycle oscillations-dead band-Overflow error-signal scaling

Objective:

To study about quantization noise, truncation and rounding off - overflow error and

signal scaling

Session


Teaching

Aids

53

Binary fixed point and floating point number representations 1,ch:9(601-605) BB/LCD

54

Comparison-Quantization noise 1,ch:9(606-607) BB/LCD

55 truncation and rounding 1,ch:9(607-608)

BB/LCD

56

quantization noise power 1,ch:9(608-613) BB/LCD

57

58

input quantization error-coefficient quantization

error

1,ch:9(613-620) BB/LCD

59

limit cycle oscillations

1,ch:9(624-626) BB/LCD

60

dead band 1,ch:9(624-629)

BB/LCD

Content beyond syllabus covered (if any):

Course Outcome 5: To introduce signal processing concepts in systems having more than one sampling

frequency.

FT/GN/68/00/21.04.15



Sub Code / Sub Name: IT6502/Digital Signal Processing

Mapping CO – PO:

PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12

CO1 A A A

CO2 B

CO3 A B

CO4 A A A

CO5 B B

A – Excellent ; B – Good ; C - Average

TEXT BOOK:

1. John G. Proakis and Dimitris G.Manolakis, “Digital Signal Processing – Principles,

Algorithms & Applications”, Fourth Edition, Pearson Education, Prentice Hall, 2007.

REFERENCES:

1. Emmanuel C.Ifeachor, and Barrie.W.Jervis, “Digital Signal Processing”, Second

Edition, Pearson Education, Prentice Hall, 2002.

2. Sanjit K. Mitra, “Digital Signal Processing – A Computer Based Approach”, Third

Edition, Tata Mc Graw Hill, 2007.

3. A.V.Oppenheim, R.W. Schafer and J.R. Buck, Discrete-Time Signal Processing,

8th Indian Reprint, Pearson, 2004.

4. Andreas Antoniou, “Digital Signal Processing”, Tata McGraw Hill, 2006

Prepared by Approved by

Signature

Name K.Suresh

V.Rajaram

Dr. D. Balasubramaniam

Designation Assistant Professor/IT HOD/IT

Date 01.07.2015 01.07.2015

*Remarks

* If the same lesson plan is followed in the subsequent semester/year it should be mentioned and signed

by the Faculty and the HOD

FT/GN/68/00/21.04.15



Programme Outcomes (PO) of the Department

1. Apply Engineering knowledge to solve problems in different areas of Information

Technology.

2. Identify, hypothesize and construct software Requirement Specification using various

concepts and techniques in the field of IT.

3. Design and develop solutions for complex systems to meet the needs of society and IT

industry.

4. Ability to conduct research in diversified field of Mobile Communication, Web technology

Data Mining, Cryptography, Network Security etc to obtain valid conclusions for challenging

problems.

5. Develop programming skills to use sophisticated and advanced software tools of IT.

6. Develop ability to perform best engineering and technical practices that benefit the corporate

society and industry.

7. Develop projects using software tools for satisfying the needs of end users.

8. Learn and follow the ethical principles involved in IT research and industrial practices.

9. Ability to work as an individual based on interest and also in multidisciplinary team of

Information Technology.

10. Develop effective communication and technical writing in IT research and industrial practices.

11. Develop management skills to work in IT industry and also to become an entrepreneur in the

field of Information Technology.

12. Engage in lifelong learning process by updating the knowledge of individual with the

upcoming software tools and techniques.

Documents

FT/GN/68/00/21.04.15 SRI VENKATESWARA … G. Proakis and Dimitris G.Manolakis, ... Fourth Edition, Pearson Education, Prentice Hall, ... SRI VENKATESWARA COLLEGE OF ENGINEERING