Nonlinear digital filtering with Python : an introduction

Nonlinear digital filtering with Python an introduction

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 beha...

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Bibliographic Details
Other Authors: Pearson, Ronald K., 1952, author (author), Gabbouj, Moncef, author
Format: eBook
Language:Inglés
Published: Boca Raton : CRC Press [2016]
Edition:1st edition
Subjects:
Nonlinear functional analysis.
Digital filters (Mathematics) > Data processing.
Python (Computer program language)
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630055906719
Table of Contents:
  • 1. Introduction
  • 2. Python
  • 3. Linear and Volterra filters
  • 4. Median filters and some extensions
  • 5. Forms of nonlinear behavior
  • 6. Composite structures : bottom-up design
  • 7. Recursive structures and stability.

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