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Digital Signal Processing Using MATLAB Version 4: A Bookware Companions Problems Book (A volume in the PWS BookWare Companion Series)

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From the beginning of the last decade we have witnessed a revolution in computer technology and an explosion in user-friendly applications.This revolution is still continuing today with low-cost personal computer systems that rival the performance of expensive workstations. This technological prowess should be brought to bear on the educational process and, in particular, on effective teaching that can result in enhanced learning.' This companion book on digital signal processing (DSP) makes a small contribution toward that goal.

The teaching methods in signal processing have changed over the years from the simple “lecture-only” format to a more integrated “lecture laboratory” environment in which practical hands-on issues are taught ,ising DSP hardware. However, for effective teaching of DSP the lecture component must also make extensive use of computer-based explanations, examples, and exercises. For the last several years, the Matlab software developed by The MathWorks, Inc. has established itself as the de facto standard for numerical computation in the signal-processing community and as a platform of choice for algorithm development. There are several reasons for this development, but one most important reason is that Matlab is available on practically all computing platforms. For several years the expensive Professional Version of Matlab was the only version available on the market. The advent of an inexpensive Student Edition has now made it possible to use it in classrooms. Recently, several text books in DSP have appeared which generally provide exercises that can be done using Matlab. However, for students (and for practicing engi neers interested in DSP) there are no “how-to” references for effective use of Matlab in DSP. In this book we have made an attempt at inte grating Matlab with traditional topics in DSP so that it can be used to explore difficult topics and solve problems to gain insight. Many prob lems or design algorithms in DSP require considerable computation. It is for these that Matlab provides a convenient tool so that many scenar ios can be tried with ease. Such an approach can enhance the learning process.

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