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Nonlinear Digital Filtering with Python: An Introduction

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Nonlinear Digital Filtering with Python: An Introduction - Pearson, Ronald K, and Gabbouj, Moncef
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This book discusses important structural filter classes including the median filter and a number of its extensions (e.g., weighted and recursive median filters), and Volterra filters based on polynomial nonlinearities. Using results from algebra and the theory of functional equations to construct and characterize behaviorally defined nonlinear filter classes, the text first introduces Python programming, and then proposes practical, bottom-up strategies for designing more complex and capable filters from simpler components ...

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Nonlinear Digital Filtering with Python: An Introduction 2015, CRC Press, Oxford

ISBN-13: 9781498714112

Hardcover