Reproducing kernel Hilbert spaces: Applications in statistical signal processing (Benchmark papers in electrical engineering and computer science)
This edited volume examines reproducing kernel Hilbert spaces in the context of statistical signal processing. As part of the Benchmark Papers in Electrical Engineering and Computer Science series, it offers a focused reference for readers interested in the mathematical foundations and applications connecting these fields.
About This Book
This volume focuses on reproducing kernel Hilbert spaces, a mathematical framework relevant to analysis and computation.
It connects the subject with applications in statistical signal processing, reflecting the book’s interdisciplinary scope.
Presented as part of the Benchmark Papers in Electrical Engineering and Computer Science series, the book brings together selected technical material for reference and study.
Edited by Howard L. Weinert, it may be useful to readers exploring mathematical methods in signal processing and related fields.
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