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Nonlinear Digital Filtering with Python: An Introduction

Ronald K. Pearson, Moncef Gabbouj




[PDF.qt00] Nonlinear Digital Filtering with Python: An Introduction

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 | #2101625 in Books |  2015-09-25 | Original language:English | PDF # 1 |  9.25 x6.25 x.75l,1.28 | File type: PDF | 300 pages

|| ||"The authors bring the reader from the consolidated world of linear filters into the variegate universe of nonlinear filters, and show how the main subclasses of digital nonlinear filters can be described on the basis of their structural and/or behavioral cha

Nonlinear Digital Filtering with Python: An Introduction 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. Adopting both structural and behavioral approaches in characterizing and designing nonlinear digital filters, this book:

  • Begins with an expedient introduction to programming in the free...

    You easily download any file type for your gadget.Nonlinear Digital Filtering with Python: An Introduction   |  Ronald K. Pearson, Moncef Gabbouj. A good, fresh read, highly recommended.

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