000			02780 a2200241 4500
005			20250923124724.0
008			241210b |||||||| |||| 00| 0 eng d
020			_a9781420089332
041			_aeng
082			_a621.382 _bPouD
100			_aPoularikas, Alexander D.
245			_aDiscrete Random Signal Processing and Filtering Primer with MATLAB / _cAlexander D. Poularikas
260			_aBoca Raton: _bCRC Press; _c©2009
300			_axvi, 284p.
440			_aThe Electrical Engineering and Applied Signal Processing Series
505			_aFourier analysis of signals. Random variables, sequences, and stochastic processes. Nonparametric (classical) spectrums estimation. Parametric and other methods for spectra estimation. Optimal filtering—Wiener filters. Adaptive filtering—LMS algorithm. Adaptive filtering with variations of LMS algorithm. Nonlinear filtering. Appendices.
520			_aEngineers in all fields will appreciate a practical guide that combines several new effective MATLAB® problem-solving approaches and the very latest in discrete random signal processing and filtering. Numerous Useful Examples, Problems, and Solutions – An Extensive and Powerful Review Written for practicing engineers seeking to strengthen their practical grasp of random signal processing, Discrete Random Signal Processing and Filtering Primer with MATLAB provides the opportunity to doubly enhance their skills. The author, a leading expert in the field of electrical and computer engineering, offers a solid review of recent developments in discrete signal processing. The book also details the latest progress in the revolutionary MATLAB language. A Practical Self-Tutorial That Transcends Theory The author introduces an incremental discussion of signal processing and filtering, and presents several new methods that can be used for a more dynamic analysis of random digital signals with both linear and non-linear filtering. Ideal as a self-tutorial, this book includes numerous examples and functions, which can be used to select parameters, perform simulations, and analyze results. This concise guide encourages readers to use MATLAB functions – and those new ones introduced as Book MATLAB Functions – to substitute many different combinations of parameters, giving them a firm grasp of how much each parameter affects results. Much more than a simple review of theory, this book emphasizes problem solving and result analysis, enabling readers to take a hands-on approach to advance their own understanding of MATLAB and the way it is used within signal processing and filtering.
650			_aDigital Signal Processing
650			_aElectrical & Electronic Engineering
650			_aApplied physics
650			_aCommunications
942			_cBK
999			_c7160 _d7160