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e-book

Nonlinear Digital Filtering with Python - An Introduction (Cód: 9482647)

Gabbouj,Moncef; Ronald K. Pearson

Taylor & Francis (Livros Digitais)

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Nonlinear Digital Filtering with Python - An Introduction

R$299,85

Descrição


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, open-source computing environment of Python
Uses results from algebra and the theory of functional equations to construct and characterize behaviorally defined nonlinear filter classes
Analyzes the impact of a range of useful interconnection strategies on filter behavior, providing Python implementations of the presented filters and interconnection strategies
Proposes practical, bottom-up strategies for designing more complex and capable filters from simpler components in a way that preserves the key properties of these components
Illustrates the behavioral consequences of allowing recursive (i.e., feedback) interconnections in nonlinear digital filters while highlighting a challenging but promising research frontier
Nonlinear Digital Filtering with Python: An Introduction supplies essential knowledge useful for developing and implementing data cleaning filters for dynamic data analysis and time-series modeling.

Características

Peso 0.00 Kg
Produto sob encomenda Não
Marca Taylor & Francis (Livros Digitais)
Número de Páginas 286 (aproximado)
Idioma 337
Acabamento e-book
Territorialidade Internacional
Formato Livro Digital Pdf
Gratuito Não
Proteção Drm Sim
Tamanho do Arquivo 2575
Início da Venda 25/09/2015
Código do Formato Pdf
Cód. Barras 9781498714136
Ano da Publicação 115
AutorGabbouj,Moncef; Ronald K. Pearson