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Information Loss in Deterministic Signal Processing Systems

This book introduces readers to essential tools for the measurement and analysis of information loss in signal processing systems. Employing a new information-theoretic systems theory, the book analyzes various systems in the signal processing engineer’s toolbox: polynomials, quantizers, rectifiers,...

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Bibliographic Details
Main Authors: Geiger, Bernhard C., Kubin, Gernot (Author)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2018, 2018
Edition:1st ed. 2018
Series:Understanding Complex Systems
Subjects:
Complex Systems
Applied Dynamical Systems
System Theory
Signal, Speech And Image Processing
Nonlinear Theories
Signal Processing
Dynamics
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Introduction
  • Part I: Random Variables
  • Piecewise Bijective Functions and Continuous Inputs
  • General Input Distributions
  • Dimensionality-Reducing Functions
  • Relevant Information Loss
  • II. Part II: Stationary Stochastic Processes
  • Discrete-Valued Processes
  • Piecewise Bijective Functions and Continuous Inputs
  • Dimensionality-Reducing Functions
  • Relevant Information Loss Rate
  • Conclusion and Outlook

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