Nonlinear Digital Filtering with Python: An Introduction (Hardcover)

Ronald K. Pearson, Moncef Gabbouj

  • 出版商: CRC
  • 出版日期: 2015-09-25
  • 售價: $3,600
  • 貴賓價: 9.5$3,420
  • 語言: 英文
  • 頁數: 300
  • 裝訂: Hardcover
  • ISBN: 1498714110
  • ISBN-13: 9781498714112
  • 相關分類: Python程式語言
  • 立即出貨 (庫存 < 4)

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商品描述

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.

商品描述(中文翻譯)

《Python非線性數字濾波:入門指南》討論了重要的結構濾波器類別,包括中值濾波器及其擴展(例如,加權和遞迴中值濾波器),以及基於多項式非線性的Volterra濾波器。本書在描述和設計非線性數字濾波器時採用結構和行為兩種方法,具體內容如下:

- 首先介紹了在Python這個自由、開源的計算環境中進行編程的方法。
- 利用代數和函數方程理論的結果,構建和描述了行為定義的非線性濾波器類別。
- 分析了一系列有用的互連策略對濾波器行為的影響,並提供了所介紹的濾波器和互連策略的Python實現。
- 提出了從較簡單組件設計更複雜和功能更強大的濾波器的實用自下而上策略,同時保留這些組件的關鍵特性。
- 通過允許遞迴(即反饋)互連來說明非線性數字濾波器的行為後果,同時突出了一個具有挑戰性但有前景的研究前沿。

《Python非線性數字濾波:入門指南》提供了開發和實施用於動態數據分析和時間序列建模的數據清理濾波器所需的基本知識。