All Courses
EE354 Undergraduate

Signal Processing - II

Credits
6
Type
Theory
Half sem
No

Course Content

Recap: Brief revision of sampling, analog and digital signal processing. Z-transform, region of convergence, connection with the DTFT, inverse z-transform. Advanced Discrete Systems: Representation of discrete-time signals on orthogonal bases; Analysis and design of inverse systems; Advanced implementation structures for discrete-time systems. FIR Digital Filter Design: Properties of linear phase FIR filters; Design using Windowing techniques; Optimum equiripple design using the Parks-McClellan method. IIR Digital Filter Design: Analog approximations (Butterworth, Chebyshev, and Elliptic); Transformation techniques (Bilinear transform, Impulse invariance); Frequency band transformations (Lowpass, Bandpass, Bandstop, and Highpass filters). Structures for the realization of Discrete Systems, VLSI + Digital Signal Processing: Direct Forms I and II, Cascade-Parallel Structures, Lattice and/or Ladder Structures. Union of Signal Processing and Machine Learning: Convolutional Neural Networks and their properties/features. Advanced topics in signal processing and applications: Introduction to spectral estimation, multirate signal processing, and/or other topics.

Text / References

  1. 1 Discrete-Time Signal Processing by Alan V. Oppenheim and Ronald W. Schafer, 3rd Edition, Pearson, 2019
  2. 2 Digital Signal Processing: A Computer-Based Approach by Sanjit K. Mitra, 4th Edition, McGraw Hill, 2013
  3. 3 Foundations of Signal Processing by Martin Vetterli, Jelena Kovačević, and Vivek K. Goyal, 1st Edition, Cambridge, 2014
  4. 4 Digital Signal Processing: Principles, Algorithms, and Applications by John G. Proakis and Dimitris G. Manolakis, 5th Edition, Pearson, 2025
  5. 5 Statistical Digital Signal Processing and Modeling by Monson H. Hayes, 1st Edition, John Wiley & Sons, 1996