000			02196cam a2200385 i 4500
999			_c384 _d384
001			795847062
003			OCoLC
005			20170209091730.0
008			120821s2014 njua b 001 0 eng
010			_a2012025640
015			_aGBB256599 _2bnb
016	7		_a016102452 _2Uk
020			_a9780132671453
020			_a013267145X
035			_a.b76703125
035			_a(OCoLC)795847062
040			_aDLC _beng _erda _cDLC _dYDX _dUKMGB _dOCLCO _dYDXCP _dMUU _dOCLCF _dUtOrBLW
042			_apcc
049			_aOSUU
050	0	0	_aTK7872.F5 _bH368 2014
050	0	0	_aTK7872.F5 _bH368 2014
082			_a621.3815824
100	1		_aHaykin, Simon S., _d1931-
245	1	0	_aAdaptive filter theory / _cSimon Haykin, Communications Research Laboratory, McMaster University, Hamilton, Ontario, Canada
250			_a5th ed.
260			_aUpper Saddle River, New Jersey : _bPearson, _c[2014]
300			_axvii, 889 pages : _billustrations ; _c25 cm
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
505	0		_aPreface -- Acknowledgments -- Background and preview -- Stochastic processes and models -- Wiener filters -- Linear prediction -- Method of steepest descent -- Method of stochastic gradient descent -- The least-mean-square (LMS) algorithm -- Normalized least-mean-square (LMS) algorithm and its generalization -- Block-adaptive filters -- Method of least-squares -- The recursive least-square (RLS) algorithm -- Robustness -- Finite-precision effects -- Adaptation in nonstationary environments -- Kalman filters -- Square-root adaptive filtering algorithms -- Order-recursive adaptive filtering algorithm -- Blind deconvention -- Epilogue -- Appendix A: Theory of complex variables -- Appendix B: Wirtinger calculus for computing complex gradients -- Appendix C: Method of Lagrange multipliers -- Appendix D: Estimation theory -- Appendix E: Eigenanalysis -- Appendix F: Langevin equation of nonequilibrium thermodynamics -- Appendix G: Rotations and reflections -- Appendix H: Complex Wishart distribution
650		0	_aAdaptive filters
942			_2ddc _cBK