Information Loss in Deterministic Signal Processing Systems (Understanding Complex Systems) - Tapa blanda

Geiger, Bernhard C.; Kubin, Gernot

9783319866451: Information Loss in Deterministic Signal Processing Systems (Understanding Complex Systems)

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ISBN 10: 3319866451 ISBN 13: 9783319866451

Editorial: Springer, 2018

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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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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

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EditorialSpringer
A�o de publicaci�n2018
ISBN 10 3319866451
ISBN 13 9783319866451
Encuadernaci�nTapa blanda
IdiomaIngl�s
N�mero de p�ginas160
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Information Loss in Deterministic Signal Processing Systems

Bernhard C. Geiger|Gernot Kubin

Publicado por Springer International Publishing, 2018

ISBN 10: 3319866451 ISBN 13: 9783319866451

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Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 syste. N� de ref. del art�culo: 448760067

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Information Loss in Deterministic Signal Processing Systems

Gernot Kubin

Publicado por Springer International Publishing Aug 2018, 2018

ISBN 10: 3319866451 ISBN 13: 9783319866451

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 160 pp. Englisch. N� de ref. del art�culo: 9783319866451

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Information Loss in Deterministic Signal Processing Systems

Gernot Kubin

Publicado por Springer International Publishing, Springer International Publishing, 2018

ISBN 10: 3319866451 ISBN 13: 9783319866451

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Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de ref. del art�culo: 9783319866451

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Information Loss in Deterministic Signal Processing Systems (Understanding Complex Systems)

Geiger, Bernhard C.; Kubin, Gernot

Publicado por Springer, 2018

ISBN 10: 3319866451 ISBN 13: 9783319866451

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Information Loss in Deterministic Signal Processing Systems

Gernot Kubin

Publicado por Springer International Publishing, Springer Nature Switzerland Aug 2018, 2018

ISBN 10: 3319866451 ISBN 13: 9783319866451

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Taschenbuch. Condici�n: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 160 pp. Englisch. N� de ref. del art�culo: 9783319866451

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