000			01425 am a2200289 i 4500
001			15010
005			20260105095732.0
008			010314s2002 njua b 001 0 eng
020			_a0130901261
035			_a(OCoLC)
040			_aBAUN _beng _cBAUN _erda
041	0		_aeng
049			_aBAUN_MERKEZ
050	0	4	_aTK7872.F5 _bH368 2002
100	1		_aHaykin, Simon S., _d1931- _967376 _eaut
245	1	0	_aAdaptive filter theory / _cSimon Haykin.
250			_a4th editon
264		1	_aNew Jersey: _bPrentice Hall, _b2002.
300			_axvi, 920 pages : _billustrations ; _c24 cm.
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
504			_aIncludes bibliographical references and index.
505	0	0	_tStochastic processes and models _t-- Wiener filters _t-- Linear prediction _t-- Method of steepest descen _tt-- Least-mean-square adaptive filters _t-- Normalized least-mean-square adaptive filters _t-- Frequency-domain and subband adaptive filters _t-- Method of least squares _t-- Recursive least-squares adaptive filters _t-- Kalman filters _t-- Square-root adaptive filters _t-- Order-recursive adaptive filters _t-- Finite-precision effects _t-- Tracking of time-varying systems _t-- Adaptive filters using infinite-duration impulse response structures _t-- Blind deconvolution _t-- Back-propagation learning
650		0	_aAdaptive filters.
942			_2lcc _cKT
999			_c12816 _d12816