000			02153nam a2200217 a 4500
001			ASIN0849370434
005			20190522114428.0
008			120220s2006 xxu eng d
020			_a0849370434 (paperback) _c$35.95
020			_a9780849370434 (paperback)
100	1		_aPoularikas, Alexander D.
245	1	0	_aAdaptive filtering primer with matlab / _cAlexander D. Poularikas, Zayed M. Ramadan.
250			_a1st ed.
260			_a[S.l.] : _bCRC Press, _c2006.
300			_a240 p. ; _c23 cm.
490	1		_aElectrical engineering primer series.
520			_aBecause of the wide use of adaptive filtering in digital signal processing and, because most of the modern electronic devices include some type of an adaptive filter, a text that brings forth the fundamentals of this field was necessary. The material and the principles presented in this book are easily accessible to engineers, scientists, and students who would like to learn the fundamentals of this field and have a background at the bachelor level. Adaptive Filtering Primer with MATLAB� clearly explains the fundamentals of adaptive filtering supported by numerous examples and computer simulations. The authors introduce discrete-time signal processing, random variables and stochastic processes, the Wiener filter, properties of the error surface, the steepest descent method, and the least mean square (LMS) algorithm. They also supply many MATLAB� functions and m-files along with computer experiments to illustrate how to apply the concepts to real-world problems. The book includes problems along with hints, suggestions, and solutions for solving them. An appendix on matrix computations completes the self-contained coverage. With applications across a wide range of areas, including radar, communications, control, medical instrumentation, and seismology, Adaptive Filtering Primer with MATLAB� is an ideal companion for quick reference and a perfect, concise introduction to the field.
700	1		_aRamadan, Zayed M.
830		0	_aElectrical engineering primer series.
856	4	0	_3Amazon.com _uhttp://www.amazon.com/exec/obidos/ASIN/0849370434/chopaconline-20
999			_c1958 _d1958