Course Information

Course Name	Turkish	Rassal Sinyaller ve Gürültü
	English	Random Signals and Noise
Course Code	EHB 334E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	1	3	3	-	-
Course Language		English
Course Coordinator		Tayfun Akgül
Course Objectives		To obtain a theoretical knowledge and simulation skills for random sequences and stochastic signals, plus noise.
Course Description		Review of probability, moments, Chebyshev inequalities, vector random variables, conditional distributions, transformations over vector random variables, central-limit theorem, random sequences, definition of random processes, autocorrelation and cross-correlation functions, Poisson process, stationary processes, power spectral density, response of linear systems to stationary inputs, Wiener filter, Markov process, noise statistics, noise spectrum, colored noise, noise examples.
Course Outcomes		x
Pre-requisite(s)		MTH 271 or MAT 271 Probability and Statistics
Required Facilities
Other		Signals and Systems + DSP Courses should be taken (min grade CC)
Textbook		Dwight F. Mix, Random Signal Processing 1995, Prentice-Hall
Other References		- H. Stark, J. Woods, Probability, Statistics, and Random Processes for Engineers, Fourth Ed., 2011, Prentice Hall - A. Papoulis, S.U. Pillai, Probability, Random Variables and Stochastic Processes, Fourth Ed., 2002, McGraw Hill - Peyton Z. Peebles Jr., Probability, Random Variables and Random Signal Principles, 2001 McGraw Hill, 4th Ed. - Alberto Leon-Garcia, Probability, Statistics, and Random Processes for Electrical Engineering, Third Ed., 2009, Prentice Hall *** Various papers will be assigned

Courses

Help

About