Quantization Noise: Roundoff Error in Digital Computation, Signal Processing, Control, and Communications (Hardcover)

Bernard Widrow

ISBN 10: 0521886716 / ISBN 13: 9780521886710

Edité par Cambridge University Press, Cambridge, 2008

A propos de cet article

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. N° de réf. du vendeur 9780521886710

Détails bibliographiques

Titre : Quantization Noise: Roundoff Error in ...

Éditeur : Cambridge University Press, Cambridge

Date d'édition : 2008

Reliure : Hardcover

Etat : new

A propos de ce titre

Synopsis :

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

Biographie de l'auteur:

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.