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Statistical and Adaptive Signal Processing Spectra
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This book is an introduction to the theory and algorithms used for the analysis and processing of random signals and their applications to real-world problems. The fundamental characteristic of random signals is captured in the following statement: Although random signals are evolving in time in an unpredictable manner, their average statistical properties exhibit considerable regularity. This provides the ground for the description of random signals using statistical averages instead of explicit equations. When we deal with random signals, the main objectives are the statistical description, modeling, and exploitation of the dependence between the values of one or more discrete-time signals and their application
to theoretical and practical problems.
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Adaptive filtering is a topic of immense practic
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This book is divided into eleven core parts, in addition to the background materials and main components
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