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Signatur: UBN/ZN 6025 M111   QR-Code
Standort: Zweigstelle Neuenheim / Freihandbereich Monograph  3D-Plan
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Verfasst von:Ma, Wentao [VerfasserIn]   i
 Chen, Badong [VerfasserIn]   i
Titel:Adaptive filtering under minimum mean p-power error criterion
Verf.angabe:Wentao Ma and Badong Chen
Ausgabe:First edition
Verlagsort:Boca Raton ; London ; New York
Verlag:CRC Press, Taylor & Francis Group
Jahr:2024
Umfang:xiv, 373 Seiten
Illustrationen:Diagramme
Gesamttitel/Reihe:A Chapman & Hall book
ISBN:978-1-032-00165-4
 978-1-032-00862-2
Abstract:"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"--
Sprache:eng
Bibliogr. Hinweis:Erscheint auch als : Online-Ausgabe: Ma, Wentao (Electrical engineer): Adaptive filtering under minimum mean p-power error criterion. - First edition. - Boca Raton, FL : CRC Press, 2024 |(DLC)2023049579
 Erscheint auch als : Online-Ausgabe: Ma, Wentao: Adaptive filtering under minimum mean p-power error criterion. - First edition. - Boca Raton : CRC Press, Taylor & Francis Group, 2024. - 1 Online-Ressource (xiv, 373 Seiten)
RVK-Notation:ZN 6025   i
K10plus-PPN:1890158399
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