Name: Information Loss in Deterministic Signal Processing Systems (en Inglés)
SKU: 58581819
Price: 104.30 USD
Availability: InStock
Author: Geiger, Bernhard C. ; Kubin, Gernot
ISBN: 9783319866451

portada Information Loss in Deterministic Signal Processing Systems (en Inglés)

Information Loss in Deterministic Signal Processing Systems (en Inglés)

Formato

Libro Físico

Autor

Bernhard C. Geiger

Gernot Kubin

Editorial

Springer

Idioma

Inglés

N° páginas

145

Encuadernación

Tapa Blanda

Dimensiones

23.4x15.6x0.9 cm

Peso

0.23 kg.

ISBN13

9783319866451

Categorías

Física
Ingeniería: general
Ingeniería electrónica

Information Loss in Deterministic Signal Processing Systems (en Inglés)

Bernhard C. Geiger (Autor) · Gernot Kubin (Autor) · Springer · Tapa Blanda

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Reseña del libro "Information Loss in Deterministic Signal Processing Systems (en Inglés)"

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.