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本帖最后由 eecsseudl 于 2013-4-29 10:14 编辑
Because of the wide use of adaptive filtering in digital signalprocessing and, because most of the modern electronic devices includesome type of an adaptive filter, a text that brings forth thefundamentals of this field was necessary. The material and theprinciples presented in this book are easily accessible to engineers,scientists, and students who would like to learn the fundamentals ofthis field and have a background at the bachelor level. AdaptiveFiltering Primer with MATLAB® clearly explains the fundamentals ofadaptive filtering supported by numerous examples and computersimulations. The authors introduce discrete-time signal processing,random variables and stochastic processes, the Wiener filter,properties of the error surface, the steepest descent method, and theleast mean square (LMS) algorithm. They also supply many MATLAB®functions and m-files along with computer experiments to illustrate howto apply the concepts to real-world problems. The book includesproblems along with hints, suggestions, and solutions for solving them.An appendix on matrix computations completes the self-containedcoverage. With applications across a wide range of areas, includingradar, communications, control, medical instrumentation, andseismology, Adaptive Filtering Primer with MATLAB® is an idealcompanion for quick reference and a perfect, concise introduction tothe field.
[ 本帖最后由 rickbai117 于 2008-10-8 01:24 编辑 ]
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