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Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 467)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
The second chapter gives a detailed development of the sinusoidal model as a parametric extension of the short-time Fourier transform. This leads to multiresolution sinusoidal modeling techniques in Chapter Three, where wavelet-like approaches are merged with the sinusoidal model to yield improved models. In Chapter Four, the analysis-synthesis residual is considered; for realistic synthesis, the residual must be separately modeled after coherent components (such as sinusoids) are removed. The residual modeling approach is based on psychoacoustically motivated nonuniform filter banks. Chapter Five deals with pitch-synchronous versions of both the wavelet and the Fourier transform; these allow for compact models of pseudo-periodic signals. Chapter Six discusses recent algorithms for deriving signal representations based on time-frequency atoms; primarily, the matching pursuit algorithm is reviewed and extended.
The signal models discussed in the book are compact, adaptive, parametric, time-frequency representations that are useful for analysis, coding, modification, and synthesis of natural signals such as audio. The models are all interpreted as methods for decomposing a signal in terms of fundamental time-frequency atoms; these interpretations, as well as the adaptive and parametric natures of the models,serve to link the various methods dealt with in the text.
Adaptive Signal Models: Theory, Algorithms and Audio Applications serves as an excellent reference for researchers of signal processing and may be used as a text for advanced courses on the topic.
Authors and Affiliations
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University of California, Berkeley, USA
Michael M. Goodwin
Bibliographic Information
Book Title: Adaptive Signal Models
Book Subtitle: Theory, Algorithms, and Audio Applications
Authors: Michael M. Goodwin
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/978-1-4419-8628-3
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1998
Hardcover ISBN: 978-0-7923-8291-1Published: 31 October 1998
Softcover ISBN: 978-1-4613-4650-0Published: 05 September 2012
eBook ISBN: 978-1-4419-8628-3Published: 10 September 2012
Series ISSN: 0893-3405
Edition Number: 1
Number of Pages: XVI, 248
Topics: Signal, Image and Speech Processing, Multimedia Information Systems, Electrical Engineering