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
Reihe
Auflage
Softcover reprint of the original 1st ed. 2018
Sprache
Verlagsort
Verlagsgruppe
Springer International Publishing
Zielgruppe
Illustrationen
9
7 s/w Abbildungen, 9 farbige Abbildungen
XIII, 145 p. 16 illus., 9 illus. in color.
Maße
Höhe: 235 mm
Breite: 155 mm
Dicke: 9 mm
Gewicht
ISBN-13
978-3-319-86645-1 (9783319866451)
DOI
10.1007/978-3-319-59533-7
Schweitzer Klassifikation
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.
