Spectral Audio Signal Processing

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About the author:
Julius O. Smith is a research engineer and musician devoted to developing new technologies for music. He received the B.S.E.E. degree from Rice University, Houston, TX, in 1975 (Control, Circuits, and Communication). He received the M.S. and Ph.D. degrees in E.E. from Stanford University, Stanford, CA, in 1978 and 1983, respectively. His Ph.D. research was devoted to improved methods for digital filter design and system identification applied to music and audio systems. From 1975 to 1977 he worked in the Signal Processing Department at ESL, Sunnyvale, CA, on systems for digital communications. From 1982 to 1986 he was with the Adaptive Systems Department at Systems Control Technology, Palo Alto, CA, where he worked in the areas of adaptive filtering and spectral estimation. From 1986 to 1991 he was employed at NeXT Computer, Inc., responsible for sound, music, and signal processing software for the NeXT computer workstation. After NeXT, he became an Associate Professor at the Center for Computer Research in Music and Acoustics (CCRMA) at Stanford, teaching courses and pursuing research related to signal processing techniques applied to music and audio systems. Continuing this work, he is presently a Professor of Music and Associate Professor of Electrical Engineering (by courtesy) at Stanford University. For more information, see http://ccrma.stanford.edu/~jos/.

Spectral Audio Signal Processing
 

Authored by Julius O. Smith III

Spectral Audio Signal Processing is the fourth book in the music signal processing series by Julius O. Smith.

One can say that human hearing occurs in terms of spectral models. As a result, spectral models are especially useful in audio applications. For example, with the right spectral model, one can discard most of the information contained in a sound waveform without changing how it sounds. This is the basis of modern audio compression techniques.

The chapters are organized in a progression from basic spectrum analysis to more advanced frequency-domain signal processing as follows:

* Fourier transforms and theorems
* Spectrum analysis windows and their design
* FIR digital filter design
* Spectrum analysis of sinusoids
* Spectrum analysis of noise
* Time-frequency displays
* The Short-Time Fourier Transform (STFT)
* Overlap-add STFT processing
* Filter-bank view of the STFT
* Applications of the STFT
* Multirate polyphase and wavelet filter banks

In addition, appendices are provided containing material that extends and supplements various chapters in various directions. Others provide supporting background material:

* Notation
* Continuous-time Fourier theorems
* Statistical signal processing
* Gaussian function properties
* Bilinear audio frequency warping
* Matlab examples
* History of spectral modeling by topic


Publication Date:
2011-12-16
ISBN/EAN13:
0974560731 / 9780974560731
Page Count:
674
Binding Type:
US Trade Paper
Trim Size:
6" x 9"
Language:
English
Color:
Black and White
Related Categories:
Technology & Engineering / Acoustics & Sound




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