Adaptive Signal Models

Adaptive Signal Models

Author: Michael M. Goodwin

Publisher: Springer Science & Business Media

ISBN: 9781441986283

Category: Technology & Engineering

Page: 248

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Adaptive Signal Models: Theory, Algorithms and Audio Applications presents methods for deriving mathematical models of natural signals. The introduction covers the fundamentals of analysis-synthesis systems and signal representations. Some of the topics in the introduction include perfect and near-perfect reconstruction, the distinction between parametric and nonparametric methods, the role of compaction in signal modeling, basic and overcomplete signal expansions, and time-frequency resolution issues. These topics arise throughout the book as do a number of other topics such as filter banks and multiresolution. 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.
Adaptive Signal Models
Language: en
Pages: 248
Authors: Michael M. Goodwin
Categories: Technology & Engineering
Type: BOOK - Published: 2012-09-10 - Publisher: Springer Science & Business Media

Adaptive Signal Models: Theory, Algorithms and Audio Applications presents methods for deriving mathematical models of natural signals. The introduction covers the fundamentals of analysis-synthesis systems and signal representations. Some of the topics in the introduction include perfect and near-perfect reconstruction, the distinction between parametric and nonparametric methods, the role of
Statistical and Adaptive Signal Processing
Language: en
Pages: 796
Authors: Dimitris G. Manolakis, Vinay K. Ingle, Stephen M. Kogon
Categories: Technology & Engineering
Type: BOOK - Published: 2005 - Publisher: Artech House Signal Processing

This authoritative volume on statistical and adaptive signal processing offers you a unified, comprehensive and practical treatment of spectral estimation, signal modeling, adaptive filtering, and array processing. Packed with over 3,000 equations and more than 300 illustrations, this unique resource provides you with balanced coverage of implementation issues, applications, and
Adaptive Signal Processing
Language: en
Pages: 356
Authors: Jacob Benesty, Yiteng Huang
Categories: Technology & Engineering
Type: BOOK - Published: 2013-03-09 - Publisher: Springer Science & Business Media

For the first time, a reference on the most relevant applications of adaptive filtering techniques. Top researchers in the field contributed chapters addressing applications in acoustics, speech, wireless and networking, where research is still very active and open.
Adaptive Signal Processing in Wireless Communications
Language: en
Pages: 520
Authors: Mohamed Ibnkahla
Categories: Technology & Engineering
Type: BOOK - Published: 2008-08-19 - Publisher: CRC Press

Adaptive techniques play a key role in modern wireless communication systems. The concept of adaptation is emphasized in the Adaptation in Wireless Communications Series through a unified framework across all layers of the wireless protocol stack ranging from the physical layer to the application layer, and from cellular systems to
Optimal and Adaptive Signal Processing
Language: en
Pages: 560
Authors: Peter M. Clarkson
Categories: Technology & Engineering
Type: BOOK - Published: 2017-11-01 - Publisher: Routledge

Optimal and Adaptive Signal Processing covers the theory of optimal and adaptive signal processing using examples and computer simulations drawn from a wide range of applications, including speech and audio, communications, reflection seismology and sonar systems. The material is presented without a heavy reliance on mathematics and focuses on one-dimensional