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Record Nr. |
UNINA9910659479003321 |
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Autore |
Zhao Haiquan |
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Titolo |
Efficient Nonlinear Adaptive Filters : Design, Analysis and Applications / / by Haiquan Zhao, Badong Chen |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (xvii, 260 pages) : illustrations |
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Disciplina |
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Soggetti |
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Signal processing |
Electronic circuits |
Telecommunication |
Automatic control |
Digital and Analog Signal Processing |
Electronic Circuits and Systems |
Communications Engineering, Networks |
Control and Systems Theory |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Adaptive filter -- Volterra adaptive filter -- FLANN adaptive filter -- Spline adaptive filter -- Kernel adaptive filters. |
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Sommario/riassunto |
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This book presents the design, analysis, and application of nonlinear adaptive filters with the goal of improving efficient performance (ie the convergence speed, steady-state error, and computational complexity). The authors present a nonlinear adaptive filter, which is an important part of nonlinear system and digital signal processing and can be applied to diverse fields such as communications, control power system, radar sonar, etc. The authors also present an efficient nonlinear filter model and robust adaptive filtering algorithm based on the local cost function of optimal criterion to overcome non-Gaussian noise interference. The authors show how these achievements provide new theories and methods for robust adaptive filtering of nonlinear and non-Gaussian systems. The book is written for the scientist and engineer who are not necessarily an expert in the specific nonlinear |
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filtering field but who want to learn about the current research and application. The book is also writtento accompany a graduate/PhD course in the area of nonlinear system and adaptive signal processing. Presents recent research results and applications of nonlinear adaptive filters in a variety of areas; Includes the basic models, algorithms, performance analysis and applications of various nonlinear filters in complex environments; Suitable for scientists and engineers who want to learn about nonlinear filtering in fields such as communications, control, power system, radar, etc. |
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