My Library

University LibraryCatalogue

For faster,
simpler
access.
Use Lean
Library.
Get it now
Don't show me again
     
Limit search to items available for borrowing or consultation
Result Page: Previous Next
Can't find that book? Try BONUS+
 
Look for full text

Search Discovery

Search CARM Centre Catalogue

Search Trove

Add record to RefWorks

Cover Art
E-RESOURCE
Author Geiger, Bernhard C., author.

Title Information loss in deterministic signal processing systems / Bernhard C. Geiger, Gernot Kubin.

Published Cham, Switzerland : Springer, [2018]

Copies

Location Call No. Status
 UniM INTERNET resource    AVAILABLE
Physical description 1 online resource (xiii, 145 pages) : illustrations (some color).
Series Understanding complex systems, 1860-0832
Springer complexity
Understanding complex systems, 1860-0832
Springer complexity.
Springer Engineering eBooks 2018 English+International
Bibliography Includes bibliographical references.
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.
Summary 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.
Other author Kubin, Gernot, author.
SpringerLink issuing body.
Subject Signal processing -- Digital techniques -- Mathematics.
Electronic books.
ISBN 9783319595337 (electronic bk.)
3319595334 (electronic bk.)
3319595326
9783319595320
9783319595320 (print)
Standard Number 10.1007/978-3-319-59533-7