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Publicado por Springer International Publishing AG, CH, 2018
ISBN 10: 3319866451 ISBN 13: 9783319866451
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Publicado por Springer International Publishing, 2018
ISBN 10: 3319866451 ISBN 13: 9783319866451
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Añadir al carritoCondición: New. 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.
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Añadir al carritoTaschenbuch. Condición: Neu. Information Loss in Deterministic Signal Processing Systems | Bernhard C. Geiger (u. a.) | Taschenbuch | Understanding Complex Systems | xiii | Englisch | 2018 | Springer | EAN 9783319866451 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Añadir al carritoTaschenbuch. 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.
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Publicado por Springer International Publishing Aug 2018, 2018
ISBN 10: 3319866451 ISBN 13: 9783319866451
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Añadir al carritoTaschenbuch. 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.
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Añadir al carritoCondición: New. Print on Demand pp. 145.
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 145.
Idioma: Inglés
Publicado por Springer, Springer Nature Switzerland Aug 2018, 2018
ISBN 10: 3319866451 ISBN 13: 9783319866451
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Presents a definition of information loss for signal processing systems which is the basis of an information-theoretic systems theorySpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 160 pp. Englisch.