Course Name: Discrete Time Signal Processing

Course abstract

This course covers discrete time signals and systems. The major concepts covered include: Discrete-time processing of continuous-time signals; sampling rate conversion; discrete time filter design and filter structures; Finite Impulse Response and Infinite Impulse Response systems; linear prediction; discrete Fourier transform, FFT algorithm; Parametric and non-parametric signal processing and its various applications.


Course Instructor

Media Object

Prof. Mrityunjoy Chakraborty

Mrityunjoy Chakraborty obtained Bachelor of Engg. from Jadavpur university, Calcutta, Master of Technology from IIT, Kanpur and Ph.D. from IIT, Delhi. He joined IIT, Kharagpur as a faculty member in 1994, where he currently holds the position of a professor in Electronics and Electrical Communication Engg. The teaching and research interests of Prof. Chakraborty are in Digital and Adaptive Signal Processing, VLSI Signal Processing, Linear Algebra and Compressive Sensing. In these areas, Prof. Chakraborty has supervised several graduate theses, carried out independent research and has several well cited publications. Prof. Chakraborty is currently a senior editorial board member of the IEEE Signal Processing Magazine and also of the IEEE journal of Emerging Techniques in Circuits and Systems. Earlier, he had been an Associate Editor of the IEEE Transactions on Circuits and Systems, part I (2004-2007, 2010-2012) and part II (2008-2009), apart from being an elected member (also currently the chair) of the DSP Technical Committee (TC) of the IEEE Circuits and Systems Society, a guest editor of the EURASIP JASP (special issue), track co-chair (DSP track) of ISCAS 2015 & 2016, Gabor track chair of DSP-15, and a TPC member of ISCAS (2011-2014), ICC (2007-2011) and Globecom (2008-2011). Prof. Chakraborty is a co-founder of the Asia Pacific Signal and Information Processing Association (APSIPA), is currently a member of the APSIPA BOG and also, served as the chair of the APSIPA TC on Signal and Information Processing Theory and Methods (SIPTM). He has also been the general chair and also the TPC chair of the National Conference on Communications – 2012. Prof. Chakraborty is a fellow of the National Academy of Science, India (NASI), and also of the Indian National Academy of Engineering (INAE). During 2012-2013, he was selected as a distinguished lecturer of the APSIPA.
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Teaching Assistant(s)

BIJIT KUMAR DAS

GOGINENI VINAY CHAKRAVARTI

 Course Duration : Jul-Sep 2016

  View Course

 Syllabus

 Enrollment : 23-May-2016 to 18-Jul-2016

 Exam registration : 02-Aug-2016 to 19-Aug-2016

 Exam Date : 18-Sep-2016, 25-Sep-2016

Enrolled

5295

Registered

564

Certificate Eligible

279

Certified Category Count

Gold

3

Elite

75

Successfully completed

201

Participation

188

Success

Elite

Gold





Legend

>=90 - Elite + Gold
60-89 - Elite
40-59 - Successfully Completed
<40 - No Certificate

Final Score Calculation Logic

  • Assignment Score = Average of best 6 out of 8 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score.
Discrete Time Signal Processing - Toppers list
Top 1 % of Certified Candidates

SANCHAR PALIT 96%

JGEC

SATISH KUMAR VANAPALLI 93%

GMR INSTITUTE OF TECHNOLOGY

REGIONAL INSTITUTION OF MEDICAL SCIENCE

YOGESH KARUNAKAR 93%

K.C. COLLEGE OF ENGINEERING & MANAGEMENT STUDIES & RESEARCH


Top 2 % of Certified Candidates

CHANDRASHEKAR H M 89%

SIDDAGANGA INSTITUTE OF TECHNOLOGY

AKASH KANUGO 89%

SHRI VAISHNAV INSTITUTE OF TECHNOLOGY AND SCIENCE

VEENA KARJIGI 89%

SIDDAGANGA INSTITUTE OF TECHNOLOGY


Top 5 % of Certified Candidates

RUPAM KALYAN CHAKRABORTY 87%

INSTITUTE OF ENGINEERING & MANAGEMENT

BISWARUP DEBNATH 86%

INSTITUTE OF ENGINEERING & MANAGEMENT

TAJINDER SINGH ARORA 86%

MAHARAJA SURAJMAL INSTITUTE OF TECHNOLOGY

SHOBHIT BHATNAGAR 86%

L N MITTAL INSTITUTE OF INFORMATION TECHNOLOGY

SHANTHA SELVA KUMARI R 85%

MEPCO SCHLENK ENGINEERING COLLEGE

SHEENA CHRISTABEL PRAVIN 82%

RAJALAKSHMI ENGINEERING COLLEGE

RAJARSHI ROY CHAUDHURI 82%

INDIAN INSTITUTE OF ENGINEERING SCIENCE AND TECHNOLOGY, SHIBPUR

SEJAL BHAVIK SHAH 80%

K.J.SOMAIYA INSTITUTE OF ENGG. AND INFORMATION TECHNOLOGY,SION,MUMBAI

LARSEN AND TOUBRO LIMITED

Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.