000			02027 a2200205 4500
999			_c70 _d70
003			OSt
005			20200916104504.0
008			200916b ||||| |||| 00| 0 eng d
020			_a9788131203286
040			_cddc
082			_a621.391 _b SMI
100			_aSmith, Steven w
245			_aDigital signal processing: a practical guide for engineers and scientists _cby Steven W. Smith.
260			_bMcGraw Hill _aNewDelhi _c2003
300			_axiv, 650p. _c26cm
505			_tCh. 1. The Breadth and Depth of DSP -- _tCh. 2. Statistics, Probability and Noise -- _tCh. 3. ADC and DAC -- _tCh. 4. DSP Software -- _tCh. 5. Linear Systems -- _tCh. 6. Convolution -- _tCh. 7. Properties of Convolution -- _tCh. 8. The Discrete Fourier Transform -- _tCh. 9. Applications of the DFT -- _tCh. 10. Fourier Transform Properties -- _tCh. 11. Fourier Transform Pairs -- _tCh. 12. The Fast Fourier Transform -- _tCh. 13. Continuous Signal Processing -- _tCh. 14. Introduction to Digital Filters -- _tCh. 15. Moving Average Filters -- _tCh. 16. Windowed-Sinc Filters -- _tCh. 17. Custom Filters -- _tCh. 18. FFT Convolution -- _tCh. 19. Recursive Filters -- _tCh. 20. Chebyshev Filters -- _tCh. 21. Filter Comparison -- _tCh. 22. Audio Processing -- _tCh. 23. Image Formation and Display -- _tCh. 24. Linear Image Processing -- _tCh. 25. Special Imaging Techniques -- _tCh. 26. Neural Networks (and more!) -- _tCh. 27. Data Compression -- _tCh. 28. Digital Signal Processors -- _tCh. 29. Getting Started with DSPs -- _tCh. 30. Complex Numbers -- _tCh. 31. The Complex Fourier Transform -- _tCh. 32. The Laplace Transform -- _tCh. 33. The z-Transform.
520			_a Designed for engineers and scientists in a wide variety of fields, this practical text aims to explain DSP techniques while avoiding the barriers of abstract theory and detailed mathematics, enabling readers to put the powerful tools of DSP to work in their research and designs.
650			_aCommunication- Signal processing
942			_cBK _2ddc