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Sinopsis
An authoritative analysis of quantization (roundoff error), ideal for those working in digital signal processing, control or numerical analysis. The book includes uniform, and floating-point, quantization. Written by expert authors, including the founder of the field and formulator of quantization noise theory, Bernard Widrow. Additional resources available through www.cambridge.org/9780521886710.
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Biografía del autor
Bernard Widrow, an internationally-recognised authority in the field of quantization, is a Professor of Electrical Engineering at Stanford University, California. He pioneered the field and one of his papers on the topic is the standard reference. He is a Fellow of the IEEE and the AAAS, a member of the US National Academy of Engineering, and the winner of numerous prestigious awards.
István Kollár is a Professor of Electrical Engineering at the Budapest University of Technology and Economics, Hungary. A Fellow of the IEEE, he is the recipient of numerous awards, the author of many publications and has been involved in several Industrial Development Projects.
Product Description
Book by Widrow Bernard Kolln225r Istvn225n
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- EditorialCambridge University Press
- Año de publicación2008
- ISBN 10 0521886716
- ISBN 13 9780521886710
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de páginas778
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Quantization Noise: Roundoff Error in Digital Computation, Signal Processing, Control, and Communications (Hardcover)
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Hardcover. Condición: new. Hardcover. If you are working in digital signal processing, control or numerical analysis, you will find this authoritative analysis of quantization noise (roundoff error) invaluable. Do you know where the theory of quantization noise comes from, and under what circumstances it is true? Get answers to these and other important practical questions from expert authors, including the founder of the field and formulator of the theory of quantization noise, Bernard Widrow. The authors describe and analyze uniform quantization, floating-point quantization, and their applications in detail. Key features include: * Analysis of floating point round off * Dither techniques and implementation issues analyzed * Offers heuristic explanations along with rigorous proofs, making it easy to understand 'why' before the mathematical proof is given. If you are working in digital signal processing, control or numerical analysis, you will find this authoritative treatment of quantization noise (roundoff error) invaluable. Do you know where the theory of quantization noise comes from, and under what circumstances it is true? Get answers to these and other important practical questions from expert authors, including the founder of the field and formulator of the theory of quantization noise, Bernard Widrow. The authors describe and analyze uniform quantization, floating-point quantization, and their applications in detail. Key features include: - Heuristic explanations along with rigorous proofs - Worked examples, so that theory is understood through examples - Analysis of floating point - Dither techniques and implementation issues analyzed - Program package for Matlab available online, for simulation and analysis of fixed-point and floating-point roundoff. Instructor-solutions, links to key papers and Matlab programs available through the book's author-maintained web page: Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9780521886710
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Quantization Noise: Roundoff Error in Digital Computation, Signal Processing, Control, and Communications (Hardcover)
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Cambridge University Press, Cambridge, 2008
ISBN 10: 0521886716
ISBN 13: 9780521886710
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Hardcover. Condición: new. Hardcover. If you are working in digital signal processing, control or numerical analysis, you will find this authoritative analysis of quantization noise (roundoff error) invaluable. Do you know where the theory of quantization noise comes from, and under what circumstances it is true? Get answers to these and other important practical questions from expert authors, including the founder of the field and formulator of the theory of quantization noise, Bernard Widrow. The authors describe and analyze uniform quantization, floating-point quantization, and their applications in detail. Key features include: * Analysis of floating point round off * Dither techniques and implementation issues analyzed * Offers heuristic explanations along with rigorous proofs, making it easy to understand 'why' before the mathematical proof is given. If you are working in digital signal processing, control or numerical analysis, you will find this authoritative treatment of quantization noise (roundoff error) invaluable. Do you know where the theory of quantization noise comes from, and under what circumstances it is true? Get answers to these and other important practical questions from expert authors, including the founder of the field and formulator of the theory of quantization noise, Bernard Widrow. The authors describe and analyze uniform quantization, floating-point quantization, and their applications in detail. Key features include: - Heuristic explanations along with rigorous proofs - Worked examples, so that theory is understood through examples - Analysis of floating point - Dither techniques and implementation issues analyzed - Program package for Matlab available online, for simulation and analysis of fixed-point and floating-point roundoff. Instructor-solutions, links to key papers and Matlab programs available through the book's author-maintained web page: Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9780521886710
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