Digital signal processing: a practical guide for engineers and scientists
by Steven W. Smith.
- NewDelhi McGraw Hill 2003
- xiv, 650p. 26cm
Ch. 1. The Breadth and Depth of DSP -- Ch. 2. Statistics, Probability and Noise -- Ch. 3. ADC and DAC -- Ch. 4. DSP Software -- Ch. 5. Linear Systems -- Ch. 6. Convolution -- Ch. 7. Properties of Convolution -- Ch. 8. The Discrete Fourier Transform -- Ch. 9. Applications of the DFT -- Ch. 10. Fourier Transform Properties -- Ch. 11. Fourier Transform Pairs -- Ch. 12. The Fast Fourier Transform -- Ch. 13. Continuous Signal Processing -- Ch. 14. Introduction to Digital Filters -- Ch. 15. Moving Average Filters -- Ch. 16. Windowed-Sinc Filters -- Ch. 17. Custom Filters -- Ch. 18. FFT Convolution -- Ch. 19. Recursive Filters -- Ch. 20. Chebyshev Filters -- Ch. 21. Filter Comparison -- Ch. 22. Audio Processing -- Ch. 23. Image Formation and Display -- Ch. 24. Linear Image Processing -- Ch. 25. Special Imaging Techniques -- Ch. 26. Neural Networks (and more!) -- Ch. 27. Data Compression -- Ch. 28. Digital Signal Processors -- Ch. 29. Getting Started with DSPs -- Ch. 30. Complex Numbers -- Ch. 31. The Complex Fourier Transform -- Ch. 32. The Laplace Transform -- Ch. 33. The z-Transform.
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.