Course Name: Introduction to Time-Frequency Analysis and Wavelet Transforms

Course abstract

Time-frequency analysis (TFA) is concerned with simultaneous analysis of signals in time- and frequency-domains. A widely encountered topic in signal processing, TFA tools are the standard for the analysis of multiscale systems (e.g., speech processing, seismic data analysis, multiscale filtering, etc.). In this course, we shall learn the basic concepts of time- frequency analysis and three widely established methods, namely, the short-time Fourier transform (STFT), Wigner-Ville distributions and wavelet transforms, starting with a review of Fourier transforms. Emphasis will be laid on wavelet transforms and their applications. Theoretical concepts are explained with practical demonstrations in MATLAB at each stage of the course.


Course Instructor

Media Object

Dr. Arun K.Tangirala

Dr. Tangirala is presently working as an Associate Professor at the Dept. of Chemical Engineering, IIT Madras. His research areas span the fields of system identification, process control and data analysis. Dr. Tangirala has been teaching courses on Time-Series Analysis, System Identification, Process Control, Wavelet Transforms and Statistical Data Analysis for more than a decade now. He is also the author of a recent book on Principles of System Identification: Theory and Practice, which is designed as a one-stop classroom resource for system identification.
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Teaching Assistant(s)

SUDHAKAR KATHARI

PhD Research Scholar,Systems and Control Group,
Dept of Chemical Engineering

IIT Madras

VIVEK SHANKAR PINNAMARJU

PhD Research Scholar,Systems and Control Group,
Dept of Chemical Engineering

IIT Madras

 Course Duration : Jul-Oct 2016
  View Course
 Syllabus
 Enrollment : 23-May-2016 to 18-Jul-2016
 Exam registration : 25-Jul-2016 to 20-Sep-2016
 Exam Date : 16-Oct-2016, 23-Oct-2016

Enrolled

532

Registered

11

Certificate Eligible

5

Certified Category Count

Gold

0

Elite

3

Successfully completed

2

Participation

2

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 7 out of 10 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score(45% of exam score+30% of matlab exam) + 25% of Assignment score
Introduction to Time-Frequency Analysis and Wavelet Transforms - Toppers list

A.BALASUBRAMANIAN 66%

SRI SIVASUBRAMANIYA NADAR COLLEGE OF ENGINEERING

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.