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

Digital signal processing (DSP) is a technique used to manipulate and analyze digital audio signals, with applications in computer music, internet development, and multimedia. This book covers topics such as phasors, tuning forks, the wave equation, sampling and quantizing, feedforward and feedback filters, comb and string filters, periodic sounds, transform methods, and filter design. It provides a working knowledge and understanding of frequency-domain methods and features questions and suggested experiments.

Format: Paperback / softback
Length: 320 pages
Publication date: 30 November 2020
Publisher: Dover Publications Inc.

Digital signal processing (DSP) is a fascinating and essential field that plays a crucial role in modern technology. It involves the processing of digital signals, which are represented by discrete values. DSP has numerous applications, including audio processing, computer music, internet development, and scientific research. In this article, we will explore the basics of DSP, including 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. Phasors and tuning forks are fundamental concepts in DSP that help us understand the behavior of periodic signals. Tuning forks produce a pure tone when struck, and phasors represent the amplitude and phase of a signal. The wave equation is a mathematical model that describes the behavior of waves, and it is used to analyze and design digital filters. Sampling and quantizing are processes that convert analog signals into digital signals. Sampling involves taking a finite number of samples of an analog signal at regular intervals, while quantizing involves converting the sampled values into discrete values. Feedforward and feedback filters are used to filter out unwanted noise and distortion from digital signals. Comb and string filters are used to create complex waveforms, such as square waves and sine waves. Periodic sounds are signals that repeat over time, and transform methods are used to analyze and manipulate these signals. Filter design is the process of designing a filter that meets specific requirements. DSP has numerous applications in audio processing, including music production, sound editing, and audio restoration. It can be used to enhance the quality of audio signals, remove noise, and create new sounds. DSP is also used in computer music, where it is used to create and manipulate digital audio signals. Internet development also relies on DSP, as it is used to compress and transmit digital audio and video signals over the internet. Science-oriented readers seeking an introduction to DSP can find this article useful. It provides a working knowledge and understanding of frequency-domain methods and features questions and suggested experiments that help readers understand and apply DSP theory and techniques. For undergraduate and graduate students of digital signal processing in engineering and computer science courses, composers of computer music, internet developers who work with multimedia, and science-oriented readers seeking an introduction to the subject, this article is a valuable resource.

Weight: 514g
Dimension: 178 x 226 x 24 (mm)
ISBN-13: 9780486845838