Digital Signal Processing (DSP), as the term suggests, is the processing of signals using digital computers. These signals might be anything transferred from an analog domain to a digital form (e.g., temperature and pressure sensors, voices over a telephone, images from a camera, or data transmittal though computers). As a result, understanding the whole spectrum of DSP technology can be a daunting task for electrical engineering professionals and students alike. Digital Signal Processing Fundamentals provides a comprehensive look at DSP by introducing the important mathematical processes and then providing several application-specific tutorials for practicing the techniques learned. Beginning with general theory, including Fourier Analysis, the mathematics of complex numbers, Fourier transforms, differential equations, analog and digital filters, and much more; the book then delves into Matlab and Scilab tutorials with examples on solving practical engineering problems, followed by software applications on image processing and audio processing-- complete with all the algorithms and source code. This is an invaluable resource for anyone seeking to understand how DSP works.
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Book Description
Editorial Reviews
About the Author
Ashfaq A. Khan (Baton Rouge, LA) is a senior software engineer for LIGO Livingston Observatory, with over 20 years of experience in system design. He has conducted several workshops and is the author of Practical Linux Programming: Device Drivers, Embedded Systems, and the Internet.
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Most Helpful Customer Reviews
7 of 8 people found the following review helpful:
4.0 out of 5 stars
A Decent Book But Has Odd Notational Inconsistencies,
By D. Comer (Albuquerque, NM) - See all my reviews
This review is from: Digital Signal Processing Fundamentals (Charles River Media Computer Engineering) (Hardcover)
This book has a great outline with all of the classic treatments of the subject; Complex numbers, Digital Filters, Fourier analysis, etc. A solid foundation is set forth in early chapters in a mixed of theory and heuristic explanation to present to a wide range of experienced reader. The key issue I have between rating this book a full 5 stars is that of notational inconsistency and the rather poor synchronization of the text with the figures. There are several places where the author is referencing a figure and the reader is left wonder if the individual generating the figures discussed the figure with the author prior to publishing the book. For example, the discussion of phasors includes a graph of a sine wave with a peak magnitude of 1. The accompanying equation mysteriously has the value 10sin(...). This seems minor at first glance yet there other examples of an apparent disconnect between text and associated figures. Some of the equations referenced appear unchecked. For example, i(t) = Re{10exp(j*w*t + phi)} = Re{10exp(j*2*pi*t)} = Re{10*exp(j*phi)} (Reviewer note: f =1 in this equation and omission of f was acceptable)?
In summary, the book is good but could have been better proof read prior to publication; in this reviewer's opinion.
3 of 6 people found the following review helpful:
5.0 out of 5 stars
Solid Theory, Lots of Software,
By
This review is from: Digital Signal Processing Fundamentals (Charles River Media Computer Engineering) (Hardcover)
Digital Signal processing has changed tremendously in recent years. The advent of ever higher performance processors have all but elminimated using analog circuits to process analog signals. Both the faster CPUs, and the advent of specialized single instruction multiple data (SIMD) instructions have made digital signal processing much easier. Combining the new instructions with specialized software (included on the enclosed CD, including MatLab and SciLab) has completely changed the nature of signal processing.
This book starts with a solid mathematical foundation before going on to more practical applications. It is not a For Dummies book, the mathematics is certainly college level.
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