Statistical Signal/Image Processing
| Hours: 3 0 3 |
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“Basic probability and random variables, random vectors and processes, statistical models, convergence and limit theorems, expectation and averages, independent and identically distributed random variables, independent increment, Markov, and Gaussian random processes, stationary random processes;, autocorrelation, power spectral density, mean square error estimation, detection, and linear estimation.
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| Pre-requisites: none | Co-requisites: none |
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Hours: XYZ where X = Lecture, Y = Lab, Z = Credit
All hours are per week.
3 Lab hours constitute 1 credit hour
1 credit hour implies 1 lecture of 50mins per academic week. 16 weeks in total.
Pre-Requisite courses are courses required to be completed before this course may be taken
Co-Requisite courses are courses required to be taken along with this course
