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028			_q2016 _bAllied Informatics, Jaipur
040			_bEnglish _aBSDU _cBSDU
082			_a621.382 2 _bOPP
100			_aOppenheim, Alan V
245		0	_aDiscrete- Time Signal Processing
250			_a3rd
260			_bPearson Education _a New Delhi _c2016,c2013
300			_a1052
500			_aThe definitive, authoritative text on DSP — ideal for those with an introductory-level knowledge of signals and systems. Written by prominent DSP pioneers, it provides thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete-time Fourier Analysis. By focusing on the general and universal concepts in discrete-time signal processing, it remains vital and relevant to the new challenges arising in the field.
501			_aSalient Features Chapter organization is self-contained — A background of advanced calculus and exposure to linear system theory for continuous-time signals is inferred. Material on: Multi-rate filtering banks. The discrete cosine transform. Noise-shaping sampling strategies. Includes several dozen problem-solving examples that not only illustrate key points, but demonstrate approaches to typical problems related to the material. Contains a wealth of class-tested problems which are the best produced over decades of undergraduate and graduate signal processing classes at MIT and Georgia Tech. Problems are organized by level of difficulty into separate categories: Basic Problems with Answers to allow students to check their results, but not solutions (20 per chapter). Basic Problems - without answers. Advanced Problems - provide an opportunity for students to understand. Extension Problems - start from the discussion in the text and lead students beyond to glimpse some advanced areas of signal processing. Offers a wealth of problems and examples.
504			_a Table of Content 1. Introduction 2. Discrete Time-Signals and Systems 3. The z-Transform 4. Sampling of Continuous-Time Signals 5. Transform Analysis of Linear Time-Invariant Systems 6. Structures for Discrete-Time Systems 7. Filter Design Techniques 8. The Discrete Fourier Transform 9. Computation of the Discrete Fourier Transform 10. Fourier Analysis of Signals Using the Discrete Fourier Transform 11. Parametric Signal Modeling 12. Discrete Hilbert Transforms Appendix A. Random Signals Appendix B. Continuous-Time Filters Appendix C. Answers to Selected Basic Problems
650			_aElectronics
700			_a Schafer, Ronald W
942			_2ddc _cBK