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Unformatted text preview: 5. Concepts of statistical independent 6. PDF of sum of independent RVs 7. PDF of multiple IID random Variables 8. Finding CDF and PDF of functions of RVs 9. Finding the statistic moments (mean, variance, covariance) of RVs 10. Linear Transformation on multiple Gaussian RVs and its distribution 11. Important RVs and their distributions originated from IID Gaussian RVs Random Processes (Random Signals and Noise) 1. WSS random processes, their ACF and PSD, Properties of ACF and PSD 2. Sample Mean versus Ensemble Mean 3. Linear TimeInvariant (LTI) Systems with WSS Random Processes as its inputs, Applications in terms I/O relations in lagdomain (using ACF) and spectral domain (using PSD)...
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This note was uploaded on 09/14/2011 for the course ECE 321 taught by Professor Hongyage during the Spring '11 term at NJIT.
 Spring '11
 HONGYAGE

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