Information Loss in Deterministic Signal Processing Systems

Bernhard c. geiger (author)|gernot kubin (author)

145 pages, parution le 09/07/2017

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Résumé

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.

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, linear filters with and without quantization effects, principal components analysis, multirate systems, etc. The user benefit of signal processing is further highlighted with the concept of relevant information loss. Signal or data processing operates on the physical representation of information so that users can easily access and extract that information. However, a fundamental theorem in information theory-data processing inequality-states that deterministic processing always involves information loss.

These measures form the basis of a new information-theoretic systems theory, which complements the currently prevailing approaches based on second-order statistics, such as the mean-squared error or error energy. This theory not only provides a deeper understanding but also extends the design space for the applied engineer with a wide range of methods rooted in information theory, adding to existing methods based on energy or quadratic representations.

1st Edition 2018 editionIllustrationsTK5102.9Signal processing - Digital techniques - Data processing.|Information theory.1SwitzerlandCham9783319595337|9783319595344Bernhard C. Geiger and Gernot Kubin.Understanding Complex Systems

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Bernhard c. geiger (author)\|gernot kubin (author)
Parution	09/07/2017
Nb. de pages	145
Format	155 x 235
Poids	409g
EAN13	9783319595320

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Information Loss in Deterministic Signal Processing Systems

Résumé

Caractéristiques techniques

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