000			01391nam a22002177a 4500
999			_c1237 _d1237
005			20211122165213.0
008			211122b ||||| |||| 00| 0 eng d
020			_a9788126516100
082			_a621.382 _bHAY
100			_aHayes, Monson H.
245			_aStatistical digital signal processing and modeling _cMonson H Hayes
250			_aWiley Student Ed.
260			_aNew Delhi : _bWiley, _c©2002.
300			_axv, 608 pages : _billustrations ; _c26 cm
505			_t1. Introduction -- _t2. Background -- _t3. Discrete-Time Random Processes -- _t4. Signal Modeling -- _t5. The Levinson Recursion -- _t6. Lattice Filters -- _t7. Wiener Filtering -- _t8. Spectrum Estimation -- _t9. Adaptive Filtering --
520			_aThe main thrust is to provide students with a solid understanding of a number of important and related advanced topics in digital signal processing such as Wiener filters, power spectrum estimation, signal modeling and adaptive filtering. Scores of worked examples illustrate fine points, compare techniques and algorithms and facilitate comprehension of fundamental concepts. Also features an abundance of interesting and challenging problems at the end of every chapter.
650			_aSignal processing -- Digital techniques
650			_aSignal processing -- Statistical methods
650			_aSignal processing -- Mathematical models
942			_2ddc _cBK