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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

CHAPTER A Random Variables

The presentation in the book relies on some basic concepts from probability theory and random variables. For the benefit of the reader, we shall motivate these concepts whenever needed as well as highlight their relevance in the estimation context. In this way, readers will be introduced to the necessary concepts in a gradual and motivated manner, and they will come to appreciate their significance away from unnecessary abstractions. In this initial chapter, we collect several concepts of general interest. These concepts complement well the material in future chapters and will be called upon at different stages of the discussion.

A.1 VARIANCE OF A RANDOM VARIABLE

We initiate our presentation with an intuitive explanation for what the variance of a random variable means. The explanation will help the reader appreciate the value of the least-mean-squares criterion, which is used extensively in later chapters.

Consider a scalar real-valued random variable x with mean value c01_img01.jpg and variance c01_img02.jpg, i.e.,

where the symbol E denotes the expectation operator. Observe that we are using boldface letters to denote random variables, which will be our convention in ...

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Publisher Resources

ISBN: 9780470253885