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The scientist and engineer's guide to digital signal processing

Author: Steven W Smith
Publisher: San Diego, Calif. : California Technical Pub., ©1997.
Edition/Format:   Print book : English : 1st ed
Summary:
Table of contents: Foundations; Fundamentals; Digital filters; Applications; Complex techniques.

Glossary.

Index.

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.

The goal is to present Digital Signal Processing in practical techniques while avoiding the barriers of detailed mathematics and abstract theory.

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.

While much of the mathematics is included, it is not used as the primary means of conveying the information.

Nothing beats a few well written paragraphs supported by good illustrations.

Second, complex numbers are treated as an advanced topic, something to be learned after the fundamental principles are understood.

Chapters 1-29 explain all the basic techniques using only algebra, and in rare cases, a small amount of elementary calculus.

Chapters 30-33 show how complex math extends the power of DSP, presenting techniques that cannot be implemented with real numbers alone.

Third, very simple computer programs are used.

Most DSP programs are written in C, Fortran, or a similar language.

However, learning DSP has different requirements than using DSP.

The student needs to concentrate on the algorithms and techniques, without being distracted by the quirks of a particular language.

Power and flexibility aren't important; simplicity is critical.

The programs in this book are written to teach DSP in the most straightforward way, with all other factors being treated as secondary.

Good programming style is disregarded if it makes the program logic more clear.  Read more...

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Details

Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Steven W Smith
ISBN: 0966017633 9780966017632
OCLC Number: 39229533
Notes: Includes index.
Description: xiv, 626 pages : illustrations ; 26 cm
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.
Other Titles: Guide to digital signal processing
Digital signal processing
Responsibility: by Steven W. Smith.

Abstract:

Table of contents: Foundations; Fundamentals; Digital filters; Applications; Complex techniques.

Glossary.

Index.

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.

The goal is to present Digital Signal Processing in practical techniques while avoiding the barriers of detailed mathematics and abstract theory.

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.

While much of the mathematics is included, it is not used as the primary means of conveying the information.

Nothing beats a few well written paragraphs supported by good illustrations.

Second, complex numbers are treated as an advanced topic, something to be learned after the fundamental principles are understood.

Chapters 1-29 explain all the basic techniques using only algebra, and in rare cases, a small amount of elementary calculus.

Chapters 30-33 show how complex math extends the power of DSP, presenting techniques that cannot be implemented with real numbers alone.

Third, very simple computer programs are used.

Most DSP programs are written in C, Fortran, or a similar language.

However, learning DSP has different requirements than using DSP.

The student needs to concentrate on the algorithms and techniques, without being distracted by the quirks of a particular language.

Power and flexibility aren't important; simplicity is critical.

The programs in this book are written to teach DSP in the most straightforward way, with all other factors being treated as secondary.

Good programming style is disregarded if it makes the program logic more clear.

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