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Adaptive Filtering Under Minimum Mean p-Power Error Criterion
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Artikel-Nr:
9781032001654
Veröffentl:
2024
Erscheinungsdatum:
31.05.2024
Seiten:
376
Autor:
Badong Chen
Gewicht:
875 g
Format:
234x156x0 mm
Sprache:
Englisch
Beschreibung:
Wentao Ma received a BSc in Mathematics and Applied Mathematics from Shannxi University of Technology in 2003, an MSc in Computing Mathematics from Huazhong University of Science and Technology in 2008, and a Ph.D. in Information and Communication Engineering from Xi'an Jiaotong University, in 2015. Currently, he is an associate professor with the School of Electrical Engineering, Xi'an University of Technology, Xi'an, China. His research interests include statistical signal processing, machine learning, artificial intelligence, and their applications in Electrical and Computer Engineering. He has published over 50 papers in various journals and conference proceedings. He is a member of IEEE, IEEE PES, and CAA.
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.
2. Adaptive Filtering under MMSE Criterion 3. MMPE Family Criteria 4. Adaptive Filtering Algorithms under MMPE 5. Recursive Adaptive Filtering Algorithms under MMPE 6. Nonlinear Filtering Algorithms under MMPE 7. Adaptive Filtering Algorithms under Mixture MMPE 8. Adaptive Filtering Algorithms under KMPE Family Criteria