000			01403nam a22001937a 4500
005			20240215154227.0
008			240215b |||||||| |||| 00| 0 eng d
020			_a9780486817354 (PB)
041			_heng
082			_bBOZ _a621.382
100			_aBozic,S. M
245			_a Digital and Kalman Filtering _ban Introduction to Discrete-Time Filtering and Optimum Linear Estimation
250			_a2
260			_aNewburyport _bDover Publications _c 2018
300			_axi, 160 p
520			_aThis text for advanced undergraduates and graduate students provides a concise introduction to increasingly important topics in electrical engineering: digital filtering, filter design, and applications in the form of the Kalman and Wiener filters. The first half focuses on digital filtering, covering FIR and IIR filter design and other concepts. The second half addresses filtering noisy data to extract a signal, with chapters on nonrecursive (FIR Wiener) estimation, recursive (Kalman) estimation, and optimum estimation of vector signals. The treatment is presented in tutorial form, but readers are assumed to be familiar with basic circuit theory, statistical averages, and elementary matrices. Central topics are developed gradually, including both worked examples and problems with solutions, and this second edition features new material and problems
650			_a Digital Filtering
942			_2ddc _cBK
999			_c2065 _d2065