- Hardcover: 780 pages
- Publisher: Cambridge University Press (July 21, 2008)
- Language: English
- ISBN-10: 0521886716
- ISBN-13: 978-0521886710
- Product Dimensions: 6.8 x 1.6 x 9.7 inches
- Shipping Weight: 3.7 pounds (View shipping rates and policies)
- Average Customer Review: 2 customer reviews
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- #296 in Books > Engineering & Transportation > Engineering > Telecommunications & Sensors > Signal Processing
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Quantization Noise: Roundoff Error in Digital Computation, Signal Processing, Control, and Communications
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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.
About the Author
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.
Top customer reviews
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Widrow/Kollar are also pretty good at explaining things - but they don't cut corners, so the book is still very heavy.
A surprisingly annoying thing is that they haven't been more stringent in the introductory section. Most (any I have seen) text books avoid inserting the parameter for phase dependence of the sampler in Eq 2.2 (coeffcients a.n aren't all 1, they are a function of the phase), but it really needs to be there to describe an aliasing sampler near Nyquist, and it is done here as well. This common error is the source of confusion regarding non-isoplanatism in image sensor theory.
Still, get this book if you ever talk about quantization noise.