| 000 | a | ||
|---|---|---|---|
| 999 |
_c32113 _d32113 |
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| 008 | 230903b xxu||||| |||| 00| 0 eng d | ||
| 020 | _a9781482253351 | ||
| 082 |
_a621.3822 _bPOU |
||
| 100 | _aPoularikas, Alexander D. | ||
| 245 | _aAdaptive filtering : fundamentals of least mean squares with MATLAB | ||
| 260 |
_bCRC Press, _c2015 _aBoca Raton : |
||
| 300 |
_axx, 343 p. ; _bill., _c24 cm |
||
| 365 |
_b94.99 _cGBP _d110.40 |
||
| 504 | _aIncludes bibliographical references and 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. This largely self-contained text:Discusses random variables, stochastic processes, vectors, matrices, determinants, discrete random signals, and probability distributionsExplains how to find the eigenvalues and eigenvectors of a. | ||
| 650 | _aAdaptive filters | ||
| 650 | _aMathematical models | ||
| 650 | _aAdaptive signal processing | ||
| 650 | _aLeast squares | ||
| 650 | _aData processing | ||
| 650 | _aMATLAB | ||
| 942 |
_2ddc _cBK |
||