| 000 | 03022cam a2200337 a 4500 | ||
|---|---|---|---|
| 001 | u5388 | ||
| 003 | SA-PMU | ||
| 005 | 20210418122848.0 | ||
| 008 | 080124s2008 njua b 001 0 eng | ||
| 010 | _a 2008003731 | ||
| 040 |
_aDLC _cDLC _dBAKER _dBTCTA _dYDXCP _dC#P _dIXA _dU9S _dOKU _dHEBIS _dDEBBG _dA7U _dDEBSZ _dOCLCQ |
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| 020 | _a9780470253885 (cloth) | ||
| 020 | _a0470253886 (cloth) | ||
| 035 |
_a(OCoLC)191318239 _z(OCoLC)176924561 |
||
| 050 | 0 | 0 |
_aTK7872.F5 _bS285 2008 |
| 082 | 0 | 0 |
_a621.3815/324 _222 |
| 100 | 1 | _aSayed, Ali H. | |
| 245 | 1 | 0 |
_aAdaptive filters / _cAli H. Sayed. |
| 260 |
_aHoboken, N.J. : _bWiley-Interscience : _bIEEE Press, _cc2008. |
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| 300 |
_axxx, 786 p. : _bill. ; _c26 cm. |
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| 504 | _aIncludes bibliographical references (p. 758-774) and indexes. | ||
| 505 | 0 | _aRandom variables -- Linear algebra -- Complex gradients -- Scalar-valued data -- Vector-valued data -- Linear estimation -- Normal equations -- Orthogonality principle -- Linear models -- Constrained estimation -- Kalman filter -- Steepest-descent technique -- Transient behavior -- LMS algorithm -- Normalized LMS algorithm -- Other LMS-type algorithms -- Affine projection algorithm -- RLS algorithm -- Mean-square performance -- Energy conservation -- Performance of LMS -- Performance of NLMS -- Performance of sign-error LMS -- Performance of RLS and other filters -- Nonstationary environments -- Tracking performance -- Transient performance -- Weighted energy conservation -- LMS with Gaussian regressers -- LMS with non-Gaussian regressors -- Data-normalized filters -- Block adaptive filters -- Transform domain adaptive filters -- Efficient block convolution -- Block and subband adaptive filters -- Least-squares methods -- Least-squares criterion -- Recursive least-squares -- Kalman filtering and RLS -- Order and time-update relations -- Array algorithms -- Norm and angle preservation -- Unitary transformations -- QR and inverse QR algorithms -- Fast RLS algorithms -- Hyperbolic rotations -- Fast array algorithm -- Regularized prediction problems -- Fast fixed-order filters -- Three basic estimation problems -- Lattice filter algorithms -- Error-feedback lattice filters -- Array lattice filters -- Indefinite least-squares -- Robust adaptive filters -- Robustness properties. | |
| 520 | 1 | _a"Adaptive Filters allows readers to gain a gradual and solid introduction to the subject, its applications to a variety of topical problems, existing limitations, and extensions of current theories. This book will interest students, experts, practitioners and instructors."--BOOK JACKET. | |
| 650 | 0 | _aAdaptive filters. | |
| 856 | 4 | 2 |
_3Publisher description _uhttp://catdir.loc.gov/catdir/enhancements/fy0808/2008003731-d.html |
| 856 | 4 | 1 |
_3Table of contents only _uhttp://catdir.loc.gov/catdir/enhancements/fy0810/2008003731-t.html |
| 856 | 4 | 2 |
_3Contributor biographical information _uhttp://catdir.loc.gov/catdir/enhancements/fy0827/2008003731-b.html |
| 942 | _cBOOK | ||
| 994 |
_aZ0 _bSUPMU |
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| 596 | _a1 | ||
| 999 |
_c224 _d224 |
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