This book by Ken Steiglitz is directed to the new market of DSP users brought about by the development of powerful and inexpensive software tools to analyze signals. These new tools allow sophisticated manipulation of signals but do not provide an understanding of the theory or the foundation for the techniques. This easy-to-understand introduction develops an intuitive approach to the development of the mathematics of DSP and uses examples from areas of the spectrum familiar to beginners together with thought provoking questions and suggested experiments.
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Ken Steiglitz is a Professor in the Computer Science Department at Princeton University where he is also Associate Chair. He received his M.E.E. and Eng.Sc.D. degrees from New York University. His current research interests inlude parallel computer architectures, economic simulations, and tools for computer music.
This new book by Ken Steigliz offers an informal and easy-to-understand introduction to digital signal processing, emphasizing digital audio and applications to computer music. A DSP Primer covers important topics such as phasors and tuning forks; the wave equation; sampling and quantizing; feedforward and feedback filters; comb and string filters; periodic sounds; transform methods; and filter design. Steiglitz uses an intuitive and qualitative approach to develop the mathematics critical to understanding DSP.
A DSP Primer is written for a broad audience including:
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