UID:
almahu_9949866028802882
Umfang:
1 online resource
Ausgabe:
First edition.
ISBN:
9781003176114
,
1003176119
,
9781040015957
,
1040015956
,
9781040015926
,
1040015921
Inhalt:
"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"--
Anmerkung:
1. Introduction2. Adaptive Filtering Algorithms under MMSE Criterion3. MMPE Family Criteria4. Adaptive Filtering Algorithms under MMPE5. Recursive Adaptive Filtering Algorithms under MMPE6. Nonlinear Filtering Algorithms under MMPE7. Adaptive Filtering Algorithms under Mixture MMPE8. Adaptive Filtering Algorithms under KMPE Family Criteria
Weitere Ausg.:
Print version: Ma, Wentao Adaptive filtering under minimum mean p-power error criterion Boca Raton, FL : CRC Press, 2024 ISBN 9781032001654
Sprache:
Englisch
DOI:
10.1201/9781003176114
URL:
https://www.taylorfrancis.com/books/9781003176114
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