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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.
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Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Condition: New. Information Bottleneck: Theory and Applications in Deep Learning (Hardback or Cased Book).
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Published by Pontifical Institute of Mediaeval Studies, 1974
Hardcover, no dust jacket. Complete set, volume 1 and volume 2. Slight ink underlining, highlighting. Heavy item, will require additional shipping fees. 488, 526 pages pp.
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Language: English
Published by Springer International Publishing AG, CH, 2018
ISBN 10: 3319866451 ISBN 13: 9783319866451
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. Softcover reprint of the original 1st ed. 2018.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 145.
Hardback. Condition: New.
Language: English
Published by Springer International Publishing, 2018
ISBN 10: 3319866451 ISBN 13: 9783319866451
Seller: moluna, Greven, Germany
Condition: 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.
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 145 pages. 9.50x6.25x0.50 inches. In Stock.
Taschenbuch. Condition: 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.
Taschenbuch. Condition: 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.
Buch. Condition: 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.
Seller: Mispah books, Redhill, SURRE, United Kingdom
Paperback. Condition: New. New. book.