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Vector Quantization and Signal Compression (Hardcover, 1992 ed.)
Loot Price: R3,148
Discovery Miles 31 480
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Vector Quantization and Signal Compression (Hardcover, 1992 ed.)
Series: The Springer International Series in Engineering and Computer Science, 159
Expected to ship within 12 - 17 working days
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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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