The Scientist and Engineer's Guide to Digital Signal Processing

Table of Contents


    FOUNDATIONS
  1. The Breadth and Depth of DSP
  2. Statistics, Probability and Noise
  3. ADC and DAC
  4. DSP Software

    FUNDAMENTALS

  5. Linear Systems
  6. Convolution
  7. Properties of Convolution
  8. The Discrete Fourier Transform
  9. Applications of the DFT
  10. Fourier Transform Properties
  11. Fourier Transform Pairs
  12. The Fast Fourier Transform
  13. Continuous Signal Processing

    DIGITAL FILTERS

  14. Introduction to Digital Filters
  15. Moving Average Filters
  16. Windowed-Sinc Filters
  17. Custom Filters
  18. FFT Convolution
  19. Recursive Filters
  20. Chebyshev Filters
  21. Filter Comparison

    APPLICATIONS

  22. Audio Processing
  23. Image Formation and Display
  24. Linear Image Processing
  25. Special Imaging Techniques
  26. Neural Networks (and more!)
  27. Data Compression

    COMPLEX TECHNIQUES

  28. Complex Numbers
  29. The Complex Fourier Transform
  30. The Laplace Transform
  31. The z-Transform

    Study Guide
    Glossary
    Index




  • Covers all the major DSP topics
    640 pages, over 500 figures, 40 programs

  • Practical tips and solutions
    Full of insider information and shortcuts

  • Easy to design digital filters
    Which one to use; how to get it running.
    Thousands of times better performance
    than analog electronics!

  • Only elementary math required
    All the basic techniques and algorithms
    are explained without complex numbers.
    Basic algebra is usually all that's needed.

  • Complex Techniques
    Chapters 28-31 show how complex math
    can make the power of DSP even greater.
    Clear explanations of this difficult topic.

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