Bernhard C. Geiger, Gernot Kubin

Information Loss in Deterministic Signal Processing Systems (eBook, PDF)

• Format: PDF

Produktbeschreibung

Presents a definition of information loss for signal processing systems which is the basis of an information-theoretic systems theory

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.

Highlights differences and similarities between design principles based on information-theoretic quantities and those based on energetic measures, such as the mean-squared error

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 145
• Erscheinungstermin: 2. Juli 2017
• Englisch
• ISBN-13: 9783319595337
• Artikelnr.: 52940558

Inhaltsangabe

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.