000			01485 a2200289 4500
001			200003039
999			_c200003039 _d22050
003			TR-AnTOB
005			20200610122626.0
008			110224e2010 nyu 001 0
020			_a9781441970107
040			_aTR-AnTOB
041			_aeng
050	1	4	_aTK5102.9 _b.E43 2010
090			_aTK5102.9 .E43 2010
100	1		_aElad, Michael _973075
245	1	0	_aSparse and redundant representations : _bfrom theory to applications in signal and image processing / _cMichael Elad.
264		1	_aNew York : _bSpringer, _c2010.
300			_axx, 376 p. : _bill. ; _c24 cm.
504			_aIncludes bibliographical references and index.
505	0		_a1. Prologue. -- 2. Uniqueness and Uncertainty. -- 3. Pursuit Algorithms - Practice. -- 4. Pursuit Algorithms - Guarantees. -- 5. From Exact to Approximate Solutions. -- 6. Iterative - Shrinkage Algorithms. -- 7. Towards Average Performance Analysis. -- 8. The Dantzig - Selector Algorithm. -- 9. Sparsity - Seeking Methods in Signal Processing. -- 10. Image Deblurring - A Case Study. - 11. MAP versus MMSE Estimation. -- 12. The Quest for a Dictionary. -- 13. Image Compression - Facial Images. -- 14. Image Denoising. -- 15. Other Applications. -- 16. Epilogue
650		0	_aImage processing _xMathematics _931492
650		7	_aGörüntü işleme _xMatematik _2etuturkob _931494
650		0	_aSinyal işleme _xMatematik _921641
650		0	_aSignal processing _xMathematics _93305
942			_cBK