000			01686cam a2200253 i 4500
001			136544
003			ISI Library, Kolkata
005			20160210130534.0
008			140718s2014 flua b 001 0 eng
020			_a9781482253351 (paperback)
040			_aISI Library _beng
082	0	4	_a621.3815324 _223 _bP874
100	1		_aPoularikas, Alexander D.
245	1	0	_aAdaptive filtering : _bfundamentals of least mean squares with MATLAB / _cAlexander D. Poularikas.
260			_aBoca Raton : _bCRC Press, _cc2015.
300			_axx, 343 p. : _billustrations ; _c24 cm.
504			_aIncludes bibliographical references and index.
505	0		_aChapter 1. Vectors -- chapter 2. Matrices -- chapter 3. Processing of discrete deterministic signals : discrete systems -- chapter 4. Discrete-time random processes -- chapter 5. The Wiener filter -- chapter 6. Eigenvalues of Rx : properties of the error surface -- chapter 7. Newton's and steepest descent methods -- chapter 8. The least mean-square algorithm -- chapter 9. Variants of least mean-square algorithm -- Appendices -- Bibliography -- Index.
520			_aAdaptive filters are used in many diverse applications, appearing in everything from military instruments to cellphones and home appliances. Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB covers the core concepts of this important field, focusing on a vital part of the statistical signal processing area—the least mean square (LMS) adaptive filter.
650		0	_aAdaptive filters _xMathematical models.
650		0	_aAdaptive signal processing _xMathematics.
650		0	_aLeast squares _xData processing.
942			_2ddc _cBK
999			_c420259 _d420259