Information Loss in Deterministic Signal Processing Systems

Szerző: Bernhard C. Geiger, Gernot Kubin

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer International Publishing AG

Elérhetőség: Beszállítói készleten

Küldés 10-13 napon belül

38 357 Ft

This book introduces readers to essential tools for the measurement and analysis of information loss...

Információk a könyvről

Szerző

Bernhard C. Geiger, Gernot Kubin

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2017

oldal

145

EAN

9783319595320

ISBN

3319595326

Enbook ID

16250213

Kiadó

Springer International Publishing AG

Súly

3672

Méretek

155 x 235 x 15

Teljes leírás

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.

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Information Loss in Deterministic Signal Processing Systems

Információk a könyvről

Teljes leírás

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