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 ?¢â‚¬â€œ 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)

No teaching assistant data available for this course yet
 Course Duration : Jan-Mar 2021

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 Syllabus

 Enrollment : 18-Nov-2020 to 25-Jan-2021

 Exam registration : 15-Jan-2021 to 12-Feb-2021

 Exam Date : 21-Mar-2021

Enrolled

1250

Registered

73

Certificate Eligible

41

Certified Category Count

Gold

6

Silver

6

Elite

17

Successfully completed

12

Participation

17

Success

Elite

Silver

Gold





Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

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
    Note:
    We have taken best assignment score from both Jan 2020 and jan 2021 course
Discrete Time Signal Processing - Toppers list

SURAY SREEKANTH 95%

ACE ENGINEERING COLLEGE

SIBA PRASAD MISHRA 95%

SARDAR VALLABHBHAI NATIONAL INSTITUTE OF TECHNOLOGY, SURAT

Enrollment Statistics

Total Enrollment: 1250

Registration Statistics

Total Registration : 73

Assignment Statistics




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.