A Digital Signal Processing Primer: with Applications to Digital Audio and Computer Music

An informal and easy-to-understand introduction to digital signal processing, this treatment emphasizes digital audio and applications to computer music. Topics include:
• Phasors and tuning forks
• The wave equation
• Sampling and quantizing
• Feedforward and feedback filters
• Comb and string filters
• Periodic sounds
• Transform methods
• Filter design
The text provides a working knowledge and understanding of frequency-domain methods and features questions and suggested experiments that help readers understand and apply digital signal processing theory and techniques.
For undergraduate and graduate students of digital signal processing in engineering and computer science courses, composers of computer music and those who work with digital sound, internet developers who work with multimedia, and science-oriented readers seeking an introduction to the subject.

Ken Steiglitz is a Eugene Higgins Professor of Computer Science Emeritus and Senior Scholar at Princeton University. He received his Doctor of Engineering Science degree from New York University in 1963. In 1997 he was inducted as a Fellow of the Association for Computer Music, and in 2000 he received the IEEE Third Millennium Medal. He is the author of several books, including The Charm of the Discrete Machine: Why the World Became Digital.