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Partial Update Adaptive Signal Processing

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Partial Update Adaptive Signal Processing

Partial Update Adaptive Signal Processing Book
Author : Kutluyil Dogancay
Publisher : Academic Press
Release : 2008-09-17
ISBN : 9780080921150
Language : En, Es, Fr & De

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Book Description :

Partial-update adaptive signal processing algorithms not only permit significant complexity reduction in adaptive filter implementations, but can also improve adaptive filter performance in telecommunications applications. This book gives state-of-the-art methods for the design and development of partial-update adaptive signal processing algorithms for use in systems development. Partial-Update Adaptive Signal Processing provides a comprehensive coverage of key partial updating schemes, giving detailed information on the theory and applications of acoustic and network echo cancellation, channel equalization and multiuser detection. It also examines convergence and stability issues for partial update algorithms, providing detailed complexity analysis and a unifying treatment of partial-update techniques. Features: • Advanced analysis and design tools • Application examples illustrating the use of partial-update adaptive signal processing • MATLAB codes for developed algorithms This unique reference will be of interest to signal processing and communications engineers, researchers, R&D engineers and graduate students. "This is a very systematic and methodical treatment of an adaptive signal processing topic, of particular significance in power limited applications such as in wireless communication systems and smart ad hoc sensor networks. I am very happy to have this book on my shelf, not to gather dust, but to be consulted and used in my own research and teaching activities" – Professor A. G. Constantinides, Imperial College, London About the author: Kutluyil Dogançay is an associate professor of Electrical Engineering at the University of South Australia. His research interests span statistical and adaptive signal processing and he serves as a consultant to defence and private industry. He was the Signal Processing and Communications Program Chair of IDC Conference 2007, and is currently chair of the IEEE South Australia Communications and Signal Processing Chapter. Advanced analysis and design tools Algorithm summaries in tabular format Case studies illustrate the application of partial update adaptive signal processing

Partial Update Least Square Adaptive Filtering

Partial Update Least Square Adaptive Filtering Book
Author : Bei Xie,Tamal Bose
Publisher : Morgan & Claypool Publishers
Release : 2014-05-01
ISBN : 1627052321
Language : En, Es, Fr & De

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Book Description :

Adaptive filters play an important role in the fields related to digital signal processing and communication, such as system identification, noise cancellation, channel equalization, and beamforming. In practical applications, the computational complexity of an adaptive filter is an important consideration. The Least Mean Square (LMS) algorithm is widely used because of its low computational complexity ($O(N)$) and simplicity in implementation. The least squares algorithms, such as Recursive Least Squares (RLS), Conjugate Gradient (CG), and Euclidean Direction Search (EDS), can converge faster and have lower steady-state mean square error (MSE) than LMS. However, their high computational complexity ($O(N^2)$) makes them unsuitable for many real-time applications. A well-known approach to controlling computational complexity is applying partial update (PU) method to adaptive filters. A partial update method can reduce the adaptive algorithm complexity by updating part of the weight vector instead of the entire vector or by updating part of the time. In the literature, there are only a few analyses of these partial update adaptive filter algorithms. Most analyses are based on partial update LMS and its variants. Only a few papers have addressed partial update RLS and Affine Projection (AP). Therefore, analyses for PU least-squares adaptive filter algorithms are necessary and meaningful. This monograph mostly focuses on the analyses of the partial update least-squares adaptive filter algorithms. Basic partial update methods are applied to adaptive filter algorithms including Least Squares CMA (LSCMA), EDS, and CG. The PU methods are also applied to CMA1-2 and NCMA to compare with the performance of the LSCMA. Mathematical derivation and performance analysis are provided including convergence condition, steady-state mean and mean-square performance for a time-invariant system. The steady-state mean and mean-square performance are also presented for a time-varying system. Computational complexity is calculated for each adaptive filter algorithm. Numerical examples are shown to compare the computational complexity of the PU adaptive filters with the full-update filters. Computer simulation examples, including system identification and channel equalization, are used to demonstrate the mathematical analysis and show the performance of PU adaptive filter algorithms. They also show the convergence performance of PU adaptive filters. The performance is compared between the original adaptive filter algorithms and different partial-update methods. The performance is also compared among similar PU least-squares adaptive filter algorithms, such as PU RLS, PU CG, and PU EDS. In addition to the generic applications of system identification and channel equalization, two special applications of using partial update adaptive filters are also presented. One application uses PU adaptive filters to detect Global System for Mobile Communication (GSM) signals in a local GSM system using the Open Base Transceiver Station (OpenBTS) and Asterisk Private Branch Exchange (PBX). The other application uses PU adaptive filters to do image compression in a system combining hyperspectral image compression and classification.

Partial Update Adaptive Filtering

Partial Update Adaptive Filtering Book
Author : Bei Xie
Publisher : Unknown
Release : 2011
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Adaptive filters play an important role in the fields related to digital signal processing and communication, such as system identification, noise cancellation, channel equalization, and beamforming. In practical applications, the computational complexity of an adaptive filter is an important consideration. The Least Mean Square (LMS) algorithm is widely used because of its low computational complexity (O(N)) and simplicity in implementation. The least squares algorithms, such as Recursive Least Squares (RLS), Conjugate Gradient (CG), and Euclidean Direction Search (EDS), can converge faster and have lower steady-state mean square error (MSE) than LMS. However, their high computational complexity ($O(N^2)$) makes them unsuitable for many real-time applications. A well-known approach to controlling computational complexity is applying partial update (PU) method to adaptive filters. A partial update method can reduce the adaptive algorithm complexity by updating part of the weight vector instead of the entire vector or by updating part of the time. An analysis for different PU adaptive filter algorithms is necessary and meaningful. The deficient-length adaptive filter addresses a situation in system identification where the length of the estimated filter is shorter than the length of the actual unknown system. It is related to the partial update adaptive filter, but has different performance. It can be viewed as a PU adaptive filter, in that the deficient-length adaptive filter also updates part of the weight vector. However, it updates the same part of the weight vector for each iteration, while the partial update adaptive filter updates a different part of the weight vector for each iteration. In this work, basic PU methods are applied to the adaptive filter algorithms which have not been fully addressed in the literature, including CG, EDS, and Constant Modulus Algorithm (CMA) based algorithms. A new PU method, the selective-sequential method, is developed for LSCMA. Mathematical analysis is shown including convergence condition, steady-state performance, and tracking performance. Computer simulation with proper examples is also shown to further help study the performance. The performance is compared among different PU methods or among different adaptive filtering algorithms. Computational complexity is calculated for each PU method and each adaptive filter algorithm. The deficient-length RLS and EDS are also analyzed and compared to the performance of the PU adaptive filter.

Statistical and Adaptive Signal Processing

Statistical and Adaptive Signal Processing Book
Author : Dimitris G. Manolakis,Vinay K. Ingle,Stephen M. Kogon
Publisher : Artech House Signal Processing
Release : 2005
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

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 theory, making it a smart choice for professional engineers and students alike.

The IEEE 2000 Adaptive Systems for Signal Processing Communications and Control Symposium

The IEEE 2000 Adaptive Systems for Signal Processing  Communications  and Control Symposium Book
Author : Anonim
Publisher : Institute of Electrical & Electronics Engineers(IEEE)
Release : 2000
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

The proceedings of the Symposium on Adaptive Systems for Signal Processing, Communications, and Control, 2000. It addresses fundamentals of adaptive and learning systems; signal processing; radar/sonar; wireless communications; pattern recognition; chaos; and more.

IEEE Digital Signal Processing Workshop

IEEE Digital Signal Processing Workshop Book
Author : Anonim
Publisher : Unknown
Release : 1994
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download IEEE Digital Signal Processing Workshop book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Adaptive Signal Processing

Adaptive Signal Processing Book
Author : Simon S. Haykin
Publisher : Society of Photo Optical
Release : 1991
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Adaptive Signal Processing book written by Simon S. Haykin, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

2004 7th International Conference on Signal Processing

2004 7th International Conference on Signal Processing Book
Author : Baozong Yuan,Qiuqi Ruan,Xiaofang Tang
Publisher : Unknown
Release : 2004
ISBN : 9787121002151
Language : En, Es, Fr & De

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Book Description :

Download 2004 7th International Conference on Signal Processing book written by Baozong Yuan,Qiuqi Ruan,Xiaofang Tang, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

2000 IEEE International Conference on Acoustics Speech and Signal Processing

2000 IEEE International Conference on Acoustics  Speech  and Signal Processing Book
Author : IEEE Signal Processing Society
Publisher : Unknown
Release : 2000
ISBN : 9780780362932
Language : En, Es, Fr & De

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Book Description :

Download 2000 IEEE International Conference on Acoustics Speech and Signal Processing book written by IEEE Signal Processing Society, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Adaptive Systems in Control and Signal Processing 1992

Adaptive Systems in Control and Signal Processing 1992 Book
Author : L. Dugard,M. MʼSaad
Publisher : Pergamon
Release : 1993
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Adaptive Systems remain a very interesting field of theoretical research, extended by methodological studies and an increasing number of applications. The plenary papers, invited sessions and contributed sessions focused on many aspects of adaptive systems, such as systems identification and modelling, adaptive control of nonlinear systems and theoretical issues in adaptive control. Also covered were methodological aspects and applications of adaptive control, intelligent tuning and adaptive signal processing.

ICASSP 99 Proceedings

ICASSP 99 Proceedings Book
Author : ICASSP 1999, Phoenix, Arizona, USA
Publisher : Unknown
Release : 1999
ISBN : 9780780350410
Language : En, Es, Fr & De

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Book Description :

Download ICASSP 99 Proceedings book written by ICASSP 1999, Phoenix, Arizona, USA, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Adaptive Signal Models

Adaptive Signal Models Book
Author : Michael M. Goodwin
Publisher : Springer Science & Business Media
Release : 2012-09-10
ISBN : 1441986286
Language : En, Es, Fr & De

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Book Description :

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.

Multiple Antennas in Wireless Communications

Multiple Antennas in Wireless Communications Book
Author : Mahesh Godavarti
Publisher : Unknown
Release : 2001
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Multiple Antennas in Wireless Communications book written by Mahesh Godavarti, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Exploiting Sparsity in Adaptive Filters

Exploiting Sparsity in Adaptive Filters Book
Author : Richard K. Martin
Publisher : Unknown
Release : 2001
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Exploiting Sparsity in Adaptive Filters book written by Richard K. Martin, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Adaptive Signal Processing for Radar

Adaptive Signal Processing for Radar Book
Author : Ramon Nitzberg
Publisher : Artech House Radar Library (Ha
Release : 1992
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Walks the reader through adaptive approaches to radar signal processing by detailing the basic concepts of various techniques and then developing equations to analyze their performance. Finally, it presents curves that illustrate the attained performance.

IEE Proceedings

IEE Proceedings Book
Author : Institution of Electrical Engineers
Publisher : Unknown
Release : 1994
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Indexes IEE proceedings parts A through I

Use of Adaptive Signal Processing Techniques to Discriminate Between Coal Cutting and Rock Cutting

Use of Adaptive Signal Processing Techniques to Discriminate Between Coal Cutting and Rock Cutting Book
Author : Michael J. Pazuchanics,Gary L. Mowrey
Publisher : Unknown
Release : 1991
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Use of Adaptive Signal Processing Techniques to Discriminate Between Coal Cutting and Rock Cutting book written by Michael J. Pazuchanics,Gary L. Mowrey, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.