000			01510cam a2200301 a 4500
001			u10164
003			SA-PMU
005			20210418122848.0
008			010314s2002 njua b 001 0 eng
010			_a 2001021604
040			_aDLC _beng _cDLC _dUKM _dBAKER _dTTU _dUBA _dBTCTA _dYDXCP _dVLB _dHEBIS _dDEBBG _dOCL _dTULIB _dOCLCF _dOCLCQ
020			_a0130901261
020			_a9780130901262
035			_a(OCoLC)46538540 _z(OCoLC)56421856
050	0	0	_aTK7872.F5 _bH368 2002
082	0	0	_a621.3815/324 _221
100	1		_aHaykin, Simon S., _d1931-
245	1	0	_aAdaptive filter theory / _cSimon Haykin.
250			_a4th ed.
260			_aUpper Saddle River, N.J. : _bPrentice Hall, _c©2002.
300			_axvi, 920 pages : _billustrations ; _c24 cm
504			_aIncludes bibliographical references (pages 870-911) and index.
505	0		_aStochastic processes and models -- Wiener filters -- Linear prediction -- Method of steepest descent -- Least-mean-square adaptive filters -- Normalized least-mean-square adaptive filters -- Frequency-domain and subband adaptive filters -- Method of least squares -- Recursive least-squares adaptive filters -- Kalman filters -- Square-root adaptive filters -- Order-recursive adaptive filters -- Finite-precision effects -- Tracking of time-varying systems -- Adaptive filters using infinite-duration impulse response structures -- Blind deconvolution -- Back-propagation learning.
650		0	_aAdaptive filters.
942			_cBOOK
994			_aZ0 _bSUPMU
596			_a1
999			_c223 _d223