"Adaptive filtering still receives attention in engineering as the use of the adaptive filter provides improved performance over the use of a fixed filter under the time varying and unknown statistics environments. This application evolved communications, signal processing, seismology, mechanical design and control engineering. The most popular optimization criterion in adaptive filtering is the well-known minimum mean square error (MMSE) criterion, which is however only optimal when the signals involved are Gaussian ...
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"Adaptive filtering still receives attention in engineering as the use of the adaptive filter provides improved performance over the use of a fixed filter under the time varying and unknown statistics environments. This application evolved communications, signal processing, seismology, mechanical design and control engineering. The most popular optimization criterion in adaptive filtering is the well-known minimum mean square error (MMSE) criterion, which is however only optimal when the signals involved are Gaussian distributed. Therefore, many "optimal solutions" under MMSE are not optimal actually. As an extension of the traditional MMSE, the minimum mean p-power error (MMPE) criterion has shown superior performance in many applications of adaptive filtering. This book aims to provide a comprehensive introduction of the MMPE and related adaptive filtering algorithms, which will become an important reference for researchers and practitioners in this application area. The book is geared to senior undergraduates with a basic understanding of linear algebra and statistics, graduate students, or practitioners with experience in adaptive signal processing"--
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New. Sewn binding. Cloth over boards. 376 p. Contains: Unspecified, Illustrations, black & white, Illustrations, color, Line drawings, black & white, Line drawings, color, Tables, black & white.
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New. Sewn binding. Cloth over boards. 376 p. Contains: Unspecified, Illustrations, black & white, Illustrations, color, Line drawings, black & white, Line drawings, color, Tables, black & white. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
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