Digital Signal Processing

By Steven W. Smith, Ph.D.

- 1: The Breadth and Depth of DSP
- 2: Statistics, Probability and Noise
- 3: ADC and DAC
- 4: DSP Software
- 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
- 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
- 22: Audio Processing
- 23: Image Formation & Display
- 24: Linear Image Processing
- 25: Special Imaging Techniques
- 26: Neural Networks (and more!)
- 27: Data Compression
- 28: Digital Signal Processors
- 29: Getting Started with DSPs
- 30: Complex Numbers
- 31: The Complex Fourier Transform
- 32: The Laplace Transform
- 33: The z-Transform
- 34: Explaining Benford's Law

Your laser printer will thank you!

"The material is nicely presented and was a pleasure to read. I believe you have achieved your objective of making the material understandable to even those having a very modest level of mathematical sophistication, which should make this a very popular work."

Vernon L. Chi

Director, Microelectronic Systems
Laboratory, University of North Carolina

"In general, I found the style of writing most refreshing. It was a pleasure to read 'how to do DSP' without having to wade through all of the derivations and statistical analysis. I believe the majority of students will feel the same. The narratives relating to techniques and pitfalls were particularly insightful. I have not seen this in a DSP text."

Jay L. Smith

Director, Center for Aerospace technology,
Weber State University

"Thank you for allowing me to review a portion of your manuscript. I think that the project is an excellent idea--- scientists and engineers of all disciplines need to understand practical digital signal processing concepts, and this book provides an excellent overview of the important topics. I also like the idea of emphasizing the concepts and their implementations rather than the mathematics; this will make the text appealing to a wide variety of students and professionals."

Richard R. Schultz

Assistant Professor, Dept. of Electrical
Engineering, University of North Dakota

"I am very impressed with the quality of the manuscript and I endorse your general approach to presenting the material to students with a variety of backgrounds."

Paul Morgan

Professor of Geology, Northern Arizona
University

"Yours is an interesting approach ...", "... the style is very pleasing, and makes for an
enjoyable reading. The book has rhythm and is easily followed. I must admit that
occasionally I would have welcomed some further mathematics that could have
enlightened your descriptions, but I understand that this was not one of your major
goals. I share with you the notion that the best DSP teaching strategy is not necessarily
*a-la-Oppenheim*, and that the development of intuition is essential in making
DSP an accessible subject."

Oscar Yanez Suarez

Metropolitan University, Iztapalapa
campus, Mexico City.

"In general, I find this book very well written and informative, and I will recommend it to my future students as a beginner-level text. Congratulations for a job well done, and thank you for giving me a chance to review it."

M. Das

Associate Professor, Electrical and Systems
Engineering, Oakland University

"This is very good, reads well and is instructive." "The figures in your book are an especially strong point; again and again I found that the figures supported and illustrated (and sometimes expanded upon) the text in a very useful way. If I were offering a DSP course in 1998, I would definitely consider your text for adoption. It a good piece of work!"

Jeffrey W. Smith

Associate Professor, Dept. of Computer
Science, University of Georgia