000			02836nam a22003498i 4500
001			CR9780511984655
003			UkCbUP
005			20200124160256.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			101130s2011||||enk o ||1 0|eng|d
020			_a9780511984655 (ebook)
020			_z9780521899826 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aTK5102.92 _b.P43 2011
082	0	0	_a005.74/6 _223
100	1		_aPearlman, William A. _q(William Abraham), _eauthor.
245	1	0	_aDigital signal compression : _bprinciples and practice / _cWilliam A. Pearlman, Amir Said.
264		1	_aCambridge : _bCambridge University Press, _c2011.
300			_a1 online resource (xviii, 419 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	8		_aMachine generated contents note: 1. Motivation: the importance of compression; 2. Book overview; 3. Principles of lossless compression; 4. Entropy coding techniques; 5. Lossy compression of scalar sources; 6. Coding of sources with memory; 7. Mathematical transformations; 8. Rate control in transform coding systems; 9. Transform coding systems; 10. Set partition coding; 11. Subband/wavelet coding systems; 12. Methods for lossless compression of images; 13. Color and multi-component image and video coding; 14. Distributed source coding.
520			_aWith clear and easy-to-understand explanations, this book covers the fundamental concepts and coding methods of signal compression, whilst still retaining technical depth and rigor. It contains a wealth of illustrations, step-by-step descriptions of algorithms, examples and practice problems, which make it an ideal textbook for senior undergraduate and graduate students, as well as a useful self-study tool for researchers and professionals. Principles of lossless compression are covered, as are various entropy coding techniques, including Huffman coding, arithmetic coding and Lempel-Ziv coding. Scalar and vector quantization and trellis coding are thoroughly explained, and a full chapter is devoted to mathematical transformations including the KLT, DCT and wavelet transforms. The workings of transform and subband/wavelet coding systems, including JPEG2000 and SBHP image compression and H.264/AVC video compression, are explained and a unique chapter is provided on set partition coding, shedding new light on SPIHT, SPECK, EZW and related methods.
650		0	_aData compression (Telecommunication)
650		0	_aSignal processing _xDigital techniques.
700	1		_aSaid, Amir, _eauthor.
776	0	8	_iPrint version: _z9780521899826
856	4	0	_uhttps://doi.org/10.1017/CBO9780511984655
999			_c519920 _d519918