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Information Loss in Deterministic Signal Processing Systems (Understanding Complex Systems) - Tapa dura
Sinopsis
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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De la contraportada
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."Sobre este título" puede pertenecer a otra edición de este libro.
- EditorialSpringer
- Año de publicación2017
- ISBN 10 3319595326
- ISBN 13 9783319595320
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de edición1
- Número de páginas160
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Information Loss in Deterministic Signal Processing Systems.
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Cham, Springer., 2017
ISBN 10: 3319595326
ISBN 13: 9783319595320
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Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Alemania
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XIV, 145 p. Hardcover. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Understanding Complex Systems. Sprache: Englisch. Nº de ref. del artículo: 8301JB
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Information Loss in Deterministic Signal Processing Systems
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Springer International Publishing, 2017
ISBN 10: 3319595326
ISBN 13: 9783319595320
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Gebunden. Condición: 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. Nº de ref. del artículo: 150267944
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Information Loss in Deterministic Signal Processing Systems
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Springer International Publishing Jul 2017, 2017
ISBN 10: 3319595326
ISBN 13: 9783319595320
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Buch. Condición: 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. Nº de ref. del artículo: 9783319595320
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Information Loss in Deterministic Signal Processing Systems
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Springer International Publishing, 2017
ISBN 10: 3319595326
ISBN 13: 9783319595320
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Buch. Condición: 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. Nº de ref. del artículo: 9783319595320
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Information Loss in Deterministic Signal Processing Systems (Understanding Complex Systems)
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Information Loss in Deterministic Signal Processing Systems (Understanding Complex Systems)
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Information Loss in Deterministic Signal Processing Systems
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Springer International Publishing, Springer Nature Switzerland Jul 2017, 2017
ISBN 10: 3319595326
ISBN 13: 9783319595320
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Buch. Condición: 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. Nº de ref. del artículo: 9783319595320
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Information Loss in Deterministic Signal Processing Systems (Understanding Complex Systems)
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Information Loss in Deterministic Signal Processing Systems
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Hardcover. Condición: Brand New. 145 pages. 9.50x6.25x0.50 inches. In Stock. Nº de ref. del artículo: x-3319595326
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Information Loss in Deterministic Signal Processing Systems (Understanding Complex Systems)
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Condición: New. Print on Demand. Nº de ref. del artículo: 371848968
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