The scientist and engineer's guide to digital signal processing / by Steven W. Smith.

Author/creator Smith, Steven W.
Format Book
Edition1st ed.
Publication InfoSan Diego, Calif. : California Technical Pub., ©1997.
Descriptionxiv, 626 pages : illustrations ; 26 cm
Supplemental ContentTable of contents
Supplemental ContentKostenfrei
Supplemental ContentTable of contents
Subjects

Portion of title Guide to digital signal processing
Portion of title Digital signal processing
Contents Part I. Foundations : -- 1. The Breadth and Depth of DSP -- 2. Statistics, Probability and Noise -- 3. ADC and DAC -- 4. DSP Software -- Part II. 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 -- Part III. 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 -- Part IV. 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 -- Part V. Complex Techniques : -- 28. Complex Numbers -- 29. The Complex Fourier Transform -- 30. The Laplace Transform -- 31. The z-Transform.
Summary Table of contents: Foundations; Fundamentals; Digital filters; Applications; Complex techniques.
Summary Glossary.
Summary Index.
Summary Book review: This book was written for scientists and engineers in a wide variety of fields: physics, bioengineering, geology, oceanography, mechanical and electrical engineering, to name just a few.
Summary The goal is to present Digital Signal Processing in practical techniques while avoiding the barriers of detailed mathematics and abstract theory.
Summary To achieve this goal, three strategies were employed in writing this book: First, the techniques are explained, not simply proven to be true through mathematical derivations.
Summary While much of the mathematics is included, it is not used as the primary means of conveying the information.
Summary Nothing beats a few well written paragraphs supported by good illustrations.
Summary Second, complex numbers are treated as an advanced topic, something to be learned after the fundamental principles are understood.
Summary Chapters 1-29 explain all the basic techniques using only algebra, and in rare cases, a small amount of elementary calculus.
Summary Chapters 30-33 show how complex math extends the power of DSP, presenting techniques that cannot be implemented with real numbers alone.
Summary Third, very simple computer programs are used.
Summary Most DSP programs are written in C, Fortran, or a similar language.
Summary However, learning DSP has different requirements than using DSP.
Summary The student needs to concentrate on the algorithms and techniques, without being distracted by the quirks of a particular language.
Summary Power and flexibility aren't important; simplicity is critical.
Summary The programs in this book are written to teach DSP in the most straightforward way, with all other factors being treated as secondary.
Summary Good programming style is disregarded if it makes the program logic more clear.
General noteIncludes index.
LCCN 97080293
ISBN0966017633
ISBN9780966017632

Availability

Library Location Call Number Status Item Actions
Joyner General Stacks TK5102.9 .S57 1997 ✔ Available Place Hold