Although adaptive filtering and adaptive array processing began with research and development efforts in the late 's and early 's, it was not until the publication of the pioneering books by Honig and Messerschmitt in and Widrow and Stearns in that the field of adaptive signal processing began to emerge as a distinct discipline in its own right. Since many new books have been published on adaptive signal processing, which serve to define what we will refer to throughout this book as conventional adaptive signal processing. These books deal primarily with basic architectures and algorithms for adaptive filtering and adaptive array processing, with many of them emphasizing practical applications. Most of the existing textbooks on adaptive signal processing focus on finite impulse response FIR filter structures that are trained with strategies based on steepest descent optimization, or more precisely, the least mean square LMS approximation to steepest descent. While literally hundreds of archival research papers have been published that deal with more advanced adaptive filtering concepts, none of the current books attempt to treat these advanced concepts in a unified framework. The goal of this new book is to present a number of important, but not so well known, topics that currently exist scattered in the research literature.
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Digital Signal Processing in Telecommunications pp Cite as. The objective of adaptive filtering is to recursively estimate an an unknown filter F , by observing its input and output time sequences x n and a n respectively. After the pioneering contribution of Widrow, gathered in his book with Stearns , a great many interesting papers and a few good books e.
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Adaptive Signal Processing by Bernard Widrow
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Adaptive Signal Processing / Edition 1
The Theory of Adaptive Filtering in a Random Time-Varying Environment