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Adaptive Filters
book

Adaptive Filters

by Ali H. Sayed
April 2008
Intermediate
832 pages
26h 2m
English
Wiley-IEEE Press
Content preview from Adaptive Filters

Problems and Computer Projects

PROBLEMS

Problem I.1 (Rayleigh distribution) Consider a Rayleigh-distributed random variable x with pdf given by (A.3). Show that its mean and variance are given by (A.4).

Problem I.2 (Markov’s inequality) Suppose x is a scalar nonnegative real-valued random variable with probability density function fx (x). Show that P[xα] ≤ Ex/α.

Problem I.3 (Chebyshev’s inequality) Consider a scalar real-valued random variable x with mean c01_img01.jpg and variance c07_img02.jpg. Let c07_img03.jpg. Apply Markov’s inequality to y to establish Chebyshev’s inequality (A.5).

Problem I.4 (Conditional expectation) Consider two real-valued random variables x and y. Establish that E [E (x|y)] = Ex. That is, show that

equation

where Sx and Sy denote the supports of the variables x and y, respectively.

Problem I.5 (Numerical example) Assume y is a random variable that is red with probability 1/3 and blue with probability 2/3. Likewise, a? is a random variable that is Gaussian with mean 1 and variance 2 if y is red, and uniformly distributed between −1 and 1 if y is blue. Find the individual and joint pdfs of {x, y}

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Publisher Resources

ISBN: 9780470253885