Course Details

Subject {L-T-P / C} : EE4406 : Advanced Topics in Signal Processing {3-0-0 / 3}
Subject Nature : Theory
Coordinator : Dr. Supratim Gupta

Syllabus

Mathematical Preliminaries on Advanced Signal Processing Signal Models and Non-Linear Systems Non-Uniform Sampling Non-Harmonic Fourier Analysis Compressed and Adaptive Sensing Non-Gaussian Random Process and Applications Quantum Signal Processing Chaotic Signal Processing

Course Objectives

  1. The student will be aware and able to visualize the domain of signal processing beyond convention
  2. The student will be able to process signals with non-linear systems or technique
  3. The student will be able to develop algorithms meeting application specific performance criteria
  4. The student will be able to implement nonlinear signal processing system in software/Hardware

Course Outcomes

• The student will be aware and able to visualize the domain of signal processing beyond convention
• The student will be able to process signals with non-linear systems or technique
• The student will be able to develop algorithms meeting application specific performance criteria
• The student will be able to implement a nonlinear signal processing system in software/Hardware

Essential Reading

  1. Volker Pohl, and Holger Boche, Advanced Topics in System and Signal Theory, Springer , 2nd Ed., 2009 or latest Ed.
  2. Y. C. Eldar and G. Kutyniok, Compressed Sensing: Theory and Applications, CUP , 2012

Supplementary Reading

  1. Gonzalo R. Arce, Nonlinear signal processing: a statistical approach, JOHN WILEY & SONS , 2005 or latest
  2. Robert M. Young, An Introduction to Non-harmonic Fourier Series, Academic Press , 2001