In This Issue. . .• Pattern Recognition:

Statistics of the students un-dergoing pattern recognitioncourse.

• Illustration: Visualizationof Carnatic Ragas and the re-lated emotions.

• On-going research: Cur-rent research works in PRCILab.

Dear friends! COMPSIG NITT isa monthly newsletter to share theresearch work done in the Patternrecognition and computational in-telligence laboratory, Departmentof Electronics and CommunicationEngineering, National Institute ofTechnology Trichy.

Concepts, Ideas pertaining to Com-putational intelligence, Patternrecognition and Signal processingare also included in this newsletter.

We expect the feedback, commentsand articles from you all.

Issue 4-4: April 2018

Team members

1. Dr. E.S.Gopi, Co-ordinator.2. G.JayaBrindha, Ph.D.

Scholar.3. Neema. M, Ph.D. Scholar.4. Rajasekharreddy Poreddy,

Ph.D Scholar.5. Vineetha Yogesh, M.Tech,

Communication systems.6. Shaik Mahammad, M.Tech,

Communication systems.

Pattern Recognition - Course Statistics

Pattern Recognition was offered as a global elective course for UG third andfourth years. For PG it was offered as Pattern Recognition and ComputationalIntelligence. The course statistics shows that it has attracted students acrossmany departments. The pie charts show the distribution of students withrespect to course and departments. The students were divided into groupsand each group was asked to prepare an audio slide on the topic alloted tothem. PG and research scholars were given individual topics. The topics mainlycovered different techniques in pattern recognition.

Link to UG audio slides: UG audio slidesLink to PG audio slides: PG audio slides

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c© 2018 by PRCI lab. All rights reserved. No part of this publication may be reproduced, distributed, ortransmitted in any form or by any means, without the prior permission.

Visualization of Carnatic Ragas

Carnatic music is a system of Indian classic music especially associated withsouthern part of India. Different carnatic ragas have been composed and usedfor many purposes such as stress relief, healing by stimulating the nerves at aparticular body part, etc. Each carnatic raga is composed of properly organizedcombination of carnatic musical notes in an increasing order of their frequency,known as aarohana followed by the reverse order, avarohana. Ragas composedby different combination and sequence of notes convey different emotions. Inthis illustration, the sequence and style of popular carnatic ragas conveyingthe emotions of Hasyam (happy), Karunam (pleading), Shantham (soothing),Shringaram (romantic), Gambheeram (Strength or Energy), Roudram (Anger)and Shokam (Sad) related feelings have been analyzed using spectrogram (referfigure) where y-axis denotes the frequency in hertz while the x-axis denotes theblock index. The ragas are classified into the corresponding emotions based onthe subjective responses.

Link to the m-file: Carnatic raga

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Book chapter publicationWe are happy to share the news that our chapter titled "Particle Swarm Optimizationbased HMM parameter estimation in Cognitive Radio System" has got publishedin the book "Computational Intelligence for pattern recognition" by Springerpublications.

Link to the chapter: Chapter

For further details contact: Ms. Vineetha Yogesh, M.Tech Communication Systems,Mail Id: yogesh.vineetha25@gmail.com

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Quotes

“You cannot change your future, you can change your habits. And surelyyour habits will change your future." — Dr. A.P.J.Abdul Kalam

c© 2018 by PRCI lab. All rights reserved. No part of this publication may be reproduced, distributed, or transmit-ted in any form or by any means, without the prior permission.

On-goingResearch

• Constructing a Sun-flower plant databaseand perform off-typeidentification using deeplearning techniques

• Application of machinelearning techniques innext generation wirelesscommunication

• Classification of Musiccomposition styles usingprobabilistic generativemodel

• Computational Intel-ligence for channelestimation of MassiveMIMO systems

• Investigation of Empiri-cal Match Algorithm forlatent sequence estima-tion in HMM and its ap-plications in 5G Technol-ogy

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FeedbackCOMPSIG NITT invites articlesand innovative ideas from read-ers for the Reader’s Space col-umn. We expect feedback andcomments to monthly newslet-ter COMPSIG NITT . Read-ers can share their views inour facebook page, "COMPSIG-NITT". Those who are inter-ested can be a part of the face-book group.Back to Contents

Contact Information:Pattern Recognition and Com-putational Intelligence Labora-tory,Department of Electronics andCommunication Engineering,National Institute of Technol-ogy Trichy - 620015E-mail:esgopi@nitt.edu