Nonlinear digital filtering with Python : an introduction /: an introduction. (2015)

• Record Type: Book
• Further Information: Note: Ronald K. Pearson and Moncef Gabbouj.
• Authors: Pearson, Ronald K, 1952-; Gabbouj, Moncef
• Contents: Introduction; Linear vs. Nonlinear Filters: An Example; Why Nonlinearity? Data Cleaning Filters; The Many Forms of Nonlinearity; Python and Reproducible Research; Organization of This Book Python; A High-Level Overview of the Language; Key Language Elements; Caveat Emptor: A Few Python Quirks; A Few Filtering Examples; Learning More about Python Linear and Volterra Filters ; Linear Digital Filters; Linearity, Smoothness, and Harmonics; Volterra Filters; Universal Approximations Median Filters and Some Extensions; The Standard Median Filter ; Median Filter Cascades ; Order Statistic Filters ; The Recursive Median Filter ; Weighted Median Filters ; Threshold Decompositions and Stack Filters ; The Hampel Filter ; Python Implementations ; Chapter Summary Forms of Nonlinear Behavior; Linearity vs. Additivity ; Homogeneity and Positive Homogeneity; Generalized Homogeneity; Location-Invariance; Restricted Linearity ; Summary: Nonlinear Structure vs. Behavior Composite Structures: Bottom-Up Design; A Practical Overview; Cascade Interconnections and Categories ; Parallel Interconnections and Groupoids; Clones: More General Interconnections; Python Implementations; Extensions to More General Settings Recursive Structures and Stability; What Is Different about Recursive Filters?; Recursive Filter Classes; Initializing Recursive Filters; BIBO Stability; Steady-State Responses; Asymptotic Stability; Inherently Nonlinear Behavior; Fading Memory Filters; Structured Lipschitz Filters; Behavior of Key Nonlinear Filter Classes; Stability of Interconnected Systems; Challenges and Potential of Recursive Filters
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2015
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 515.252; Nonlinear functional analysis; Digital filters (Mathematics) -- Data processing; Python (Computer program language)
• Languages: English
• ISBNs: 9781498714136
• Related ISBNs: 9781498714112
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; item not viewed.
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• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.