ECE 530 - Random Signal Analysis

Description: Credit 4. Probability for communications, properties and series representations of random processes, random processes through linear and non-linear systems, minimum MSE and maximum SNR systems.

Prerequisite:  ECE 341 or consent of the instructor


1. A. Papoulis and S. U. Pillai, Probability, Random Variables and Stochastic 
     Processes, Fourth Edition, McGraw-Hill, 2002, ISBN: 0-07-366011-6.
2. H. Stark and J. W. Woods, Probability and Random Processes with Applications 
    to Signal Processing, Prentice Hall, 3/e, 2002.


1. Review of probability theory 

2. Random processes
     a. Autocorrelation and power spectual density 
     b. Special processes (Weiner Markov) 
     c. Transmission through linear systems 
     d. Transmission through nonlinear systems 
         i. Minimum mean square error linear systems 
         ii. Maximum signal-to-noise ratio systems