1. Sampling – low pass and band limited.
2. Design and analysis of digital filters – optimization approach.
3. Interpolation and decimation – time and frequency domain analysis.
4. Fractional rate conversion.
5. Realization of resampling filters.
6. Polypohase and CIC structures.
7. Wavelet using resampling filters.
8. Deterministic and stochastic simulations.
9. Modeling of errors due to sampling and quantization– choice of simulation sampling frequency.
10. Sampling and generation of low pass and band limited signals.
11. Baseband representation of linear and non-linear band pass signals and systems– time varying systems.
12. Simulation of random process and noise sources.

• Fredric J Harris, “Multirate Signal Processing for Communication Systems”, Pearson Education, 2004.
• BehrouzFarhang-Boroujeny, “Signal Processing Techniques for Software Radios”, Lulu Publishing House, 2008.

• Paolo Prandoni, Martin Vetterli,“Signal Processing for Communications”, EPFL Press, 2008
• M. Schiff, “Introduction to Communication Systems Simulation”, Artech House, 2006.

Evaluation Pattern

Objectives

• To provide a comprehensive introduction to the study of signal processing techniques in Communication systems
• To address implementation concerns and architectures in signal processing algorithms for digital transceivers
• To facilitate design of advanced and customized signal processing routines for challenges in design of communication systems

Course Outcomes

• CO1: Able to understand and analyze the modern signal processing techniques
• CO2: Able to develop signal processing algorithms for specific and domain based applications
• CO3: Able to develop mathematical models based on theoretical foundations for communication engineering Problems
• CO4: Able to do analyze trade offs of various subsystem parameters

CO – PO Mapping