MIT 6.02 Introduction to EECS II: Digital Communication Systems, Fall 2012
View the complete course: http://ocw.mit.edu/6-02F12
Instructor: George Verghese
This lecture introduces a noise model based on a Gaussian random variable. Background on calculating mean and variance of probability density function is given alongside steps to estimate noise parameters and calculate bit energy.
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
Tagged under: noise,distortion,- noise,signal--noise ratio,signal power,noise variance,power,probability density function,random variable,Central Limit Theorem,sample,bit energy
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