000			02939cam a2200373 i 4500
001			16835948
003			OSt
005			20221113090208.0
008			110620t20112011nyua b 001 0 eng d
010			_a 2011019455
020			_a9780521110020 _qhardcover
020			_a0521110025 _qhardcover
035			_a(OCoLC)ocn729349252
040			_aDLC _cDLC _dYDX _dBTCTA _dYDXCP _dBWX _dDLC _dUOC _erda _beng
042			_apcc
082	0	0	_a621.3822 _223 _bDIM
100	1		_aManolakis, Dimitris G. _eauthor. _92673
245	1	0	_aApplied digital signal processing : _btheory and practice / _cDimitris G. Manolakis, Vinay K. Ingle.
250			_aFirst Edition.
264		1	_aNew York : _bCambridge University Press, _c2011.
264		4	_c© Cambridge University Press 2011.
300			_axv, 991 pages : _billustrations ; _c25 cm.
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
504			_aIncludes bibliographical references and index.
505	8		_aMachine generated contents note: 1. Introduction; 2. Discrete-time signals and systems; 3. The z-transform; 4. Fourier analysis of signals; 5. Transform analysis of LTI systems; 6. Sampling theory and practice; 7. The discrete Fourier transform; 8. Computation of the discrete Fourier transform; 9. Structures for discrete-time systems; 10. Filter design techniques; 11. Sampling rate conversion; 12. Filter banks; 13. Random signals; 14. Spectral analysis and optimum filtering; 15. Practical considerations.
520			_a"Master the basic concepts and methodologies of digital signal processing with this systematic introduction, without the need for an extensive mathematical background. The authors lead the reader through the fundamental mathematical principles underlying the operation of key signal processing techniques, providing simple arguments and cases rather than detailed general proofs. Coverage of practical implementation, discussion of the limitations of particular methods and plentiful MATLAB illustrations allow readers to better connect theory and practice. A focus on algorithms that are of theoretical importance or useful in real-world applications ensures that students cover material relevant to engineering practice, and equips students and practitioners alike with the basic principles necessary to apply DSP techniques to a variety of applications. Chapters include worked examples, problems and computer experiments, helping students to absorb the material they have just read. Lecture slides for all figures and solutions to the numerous problems are available to instructors"-- _cProvided by publisher.
650		0	_aSignal processing _xDigital techniques. _9490
700	1		_aIngle, Vinay K. _eauthor. _92674
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cTEXT BOOK
999			_c1290 _d1290