EHN 334  Random Signals and Noise
Course Objectives
1. Learning the mathematical models of discrete probability, random variables and random signals ,
2. Ability to apply acquired concepts and talents to real life engineering problems.
Course Description
Review of probability, moments, Chebyshev inequalities, vector random variables, conditional distributions, transformations over vector random variables, centrallimit theorem, random sequences, definition of random processes, autocorrelation and crosscorrelation functions, stationary processes, power spectral density, response of linear systems to stationary inputs, Wiener filter, Poisson process, Markov process, Martingale process.


Course Coordinator
Mehmet Ertuğrul Çelebi
Mehmet Ertuğrul Çelebi
Course Language
English


