Vector Quantization and Signal Compression - Springer Engineering & Computer Science Series 159 | Digital Signal Processing & Data Compression for Audio, Video & Communication Systems
$49.6
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Vector Quantization and Signal Compression - Springer Engineering & Computer Science Series 159 | Digital Signal Processing & Data Compression for Audio, Video & Communication Systems
Vector Quantization and Signal Compression - Springer Engineering & Computer Science Series 159 | Digital Signal Processing & Data Compression for Audio, Video & Communication Systems
Vector Quantization and Signal Compression - Springer Engineering & Computer Science Series 159 | Digital Signal Processing & Data Compression for Audio, Video & Communication Systems
$49.6
$90.19
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Description
Herb Caen, a popular columnist for the San Francisco Chronicle, recently quoted a Voice of America press release as saying that it was reorganizing in order to "eliminate duplication and redundancy. " This quote both states a goal of data compression and illustrates its common need: the removal of duplication (or redundancy) can provide a more efficient representation of data and the quoted phrase is itself a candidate for such surgery. Not only can the number of words in the quote be reduced without losing informa­ tion, but the statement would actually be enhanced by such compression since it will no longer exemplify the wrong that the policy is supposed to correct. Here compression can streamline the phrase and minimize the em­ barassment while improving the English style. Compression in general is intended to provide efficient representations of data while preserving the essential information contained in the data. This book is devoted to the theory and practice of signal compression, i. e. , data compression applied to signals such as speech, audio, images, and video signals (excluding other data types such as financial data or general­ purpose computer data). The emphasis is on the conversion of analog waveforms into efficient digital representations and on the compression of digital information into the fewest possible bits. Both operations should yield the highest possible reconstruction fidelity subject to constraints on the bit rate and implementation complexity.
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Reviews
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Verified Buyer
5
It seems somebody was complaining for the printing quality. This is not a calculus book. If you take most theoretical books, and certainly most Springer's book, they don't have nice full color Barney images. This is technical (mostly theoretical) stuff. There is, in my opinion, no problem with the printing at all, clear, quality monochromatic printing.With respect to the contents of the book, it has almost everything you may want to know about Vector (and even Scalar) quantization and Signal compression. It was a great help while I was writing my doctoral thesis. Gray is probably one of the most respected authorities in the field.

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