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Qr Decomposition Based Algorithms And Architectures For Lease Squares Adaptive Filtering
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Book Synopsis QR Decomposition Based Algorithms and Architectures for Least-squares Adaptive Filtering by : I. K. Proudler
Download or read book QR Decomposition Based Algorithms and Architectures for Least-squares Adaptive Filtering written by I. K. Proudler and published by . This book was released on 1992 with total page 65 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis QR Decomposition Based Algorithms and Architectures for Lease-Squares Adaptive Filtering by :
Download or read book QR Decomposition Based Algorithms and Architectures for Lease-Squares Adaptive Filtering written by and published by . This book was released on 1992 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this memorandum we show how the method of QR decomposition (QRD) may be applied to the adaptive filtering and beamforming problems. QR decomposition is a form of orthogonal triangularisation which is particularly useful in least squares computations and forms the basis of some very stable numerical algorithms. When applied to the problem of narrowband adaptive beamforming where the data matrix, in general, has no special structure, this technique leads to an architecture which can carry out the required computations in parallel using a triangular array of relatively simple processing elements. The problem of an adaptive time series filter is also considered. Here the data vectors exhibit a simple time-shift invariance and the corresponding data matrix is of Toeplitz structure. In this case, the triangular processor array is known to be very inefficient. Instead, it is shown how the Toeplitz structure may be used to reduce the computational complexity of the QR decomposition technique. The resulting orthogonal least squares lattice and 'fast Kalman' algorithms may be implemented using far fewer processing elements. These 'fast' QRD algorithms are very similar to the more conventional ones but, in general, are found to have superior numerical properties. A narrow-band beamformer is essentially a spatial filter and the corresponding adaptive beam-forming problem may be formulated in terms of least squares minimisation. A fundamental structure in least squares minimisation problems is an adaptive linear combiner. This may be applied directly to the problem of narrowband adaptive beamforming, resulting in the so-called generalised sidelobe canceller.
Book Synopsis The QR-decomposition Based Least-squares Lattice Algorithm for Adaptive Filtering by : I. K. Proudler
Download or read book The QR-decomposition Based Least-squares Lattice Algorithm for Adaptive Filtering written by I. K. Proudler and published by . This book was released on 1990 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :Paulo Sergio Ramirez Diniz Publisher :Springer Science & Business Media ISBN 13 :9781402071256 Total Pages :594 pages Book Rating :4.0/5 (712 download)
Book Synopsis Adaptive Filtering by : Paulo Sergio Ramirez Diniz
Download or read book Adaptive Filtering written by Paulo Sergio Ramirez Diniz and published by Springer Science & Business Media. This book was released on 2002 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive Filtering: Algorithms and Practical Implementation, Second Edition, presents a concise overview of adaptive filtering, covering as many algorithms as possible in a unified form that avoids repetition and simplifies notation. It is suitable as a textbook for senior undergraduate or first-year graduate courses in adaptive signal processing and adaptive filters. The philosophy of the presentation is to expose the material with a solid theoretical foundation, to concentrate on algorithms that really work in a finite-precision implementation, and to provide easy access to working algorithms. Hence, practicing engineers and scientists will also find the book to be an excellent reference. This second edition contains a substantial amount of new material: -Two new chapters on nonlinear and subband adaptive filtering; -Linearly constrained Weiner filters and LMS algorithms; -LMS algorithm behavior in fast adaptation; -Affine projection algorithms; -Derivation smoothing; -MATLAB codes for algorithms. An instructor's manual, a set of master transparencies, and the MATLAB codes for all of the algorithms described in the text are also available. Useful to both professional researchers and students, the text includes 185 problems; over 38 examples, and over 130 illustrations. It is of primary interest to those working in signal processing, communications, and circuits and systems. It will also be of interest to those working in power systems, networks, learning systems, and intelligent systems.
Book Synopsis Adaptive Filtering by : Paulo S.R. Diniz
Download or read book Adaptive Filtering written by Paulo S.R. Diniz and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive Filtering: Algorithms and Practical Implementation, Second Edition, presents a concise overview of adaptive filtering, covering as many algorithms as possible in a unified form that avoids repetition and simplifies notation. It is suitable as a textbook for senior undergraduate or first-year graduate courses in adaptive signal processing and adaptive filters. The philosophy of the presentation is to expose the material with a solid theoretical foundation, to concentrate on algorithms that really work in a finite-precision implementation, and to provide easy access to working algorithms. Hence, practicing engineers and scientists will also find the book to be an excellent reference. This second edition contains a substantial amount of new material: -Two new chapters on nonlinear and subband adaptive filtering; -Linearly constrained Weiner filters and LMS algorithms; -LMS algorithm behavior in fast adaptation; -Affine projection algorithms; -Derivation smoothing; -MATLAB codes for algorithms.
Book Synopsis A Class of Square Root and Division Free Algorithms and Architectures for QRD-based Adaptive Signal Processing by : E. N. Frantzeskakis
Download or read book A Class of Square Root and Division Free Algorithms and Architectures for QRD-based Adaptive Signal Processing written by E. N. Frantzeskakis and published by . This book was released on 1993 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis QRD-RLS Adaptive Filtering by : JOSE APOLINARIO JR
Download or read book QRD-RLS Adaptive Filtering written by JOSE APOLINARIO JR and published by Springer Science & Business Media. This book was released on 2009-04-05 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: I feel very honoured to have been asked to write a brief foreword for this book on QRD-RLS Adaptive Filtering–asubjectwhichhas been close to my heart for many years. The book is well written and very timely – I look forward personally to seeing it in print. The editor is to be congratulated on assembling such a highly esteemed team of contributing authors able to span the broad range of topics and concepts which underpin this subject. In many respects, and for reasons well expounded by the authors, the LMS al- rithm has reigned supreme since its inception, as the algorithm of choice for prac- cal applications of adaptive ltering. However, as a result of the relentless advances in electronic technology, the demand for stable and ef cient RLS algorithms is growing rapidly – not just because the higher computational load is no longer such a serious barrier, but also because the technological pull has grown much stronger in the modern commercial world of 3G mobile communications, cognitive radio, high speed imagery, and so on.
Book Synopsis QR Decomposition-based Recursive Least Squares Adaptive Algorithms for Multichannel and Nonlinear Filtering by : Mushtaq Ahmed Syed
Download or read book QR Decomposition-based Recursive Least Squares Adaptive Algorithms for Multichannel and Nonlinear Filtering written by Mushtaq Ahmed Syed and published by . This book was released on 1992 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Adaptive Filtering by : Paulo S. R. Diniz
Download or read book Adaptive Filtering written by Paulo S. R. Diniz and published by Springer Nature. This book was released on 2019-11-28 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the fifth edition of this textbook, author Paulo S.R. Diniz presents updated text on the basic concepts of adaptive signal processing and adaptive filtering. He first introduces the main classes of adaptive filtering algorithms in a unified framework, using clear notations that facilitate actual implementation. Algorithms are described in tables, which are detailed enough to allow the reader to verify the covered concepts. Examples address up-to-date problems drawn from actual applications. Several chapters are expanded and a new chapter ‘Kalman Filtering’ is included. The book provides a concise background on adaptive filtering, including the family of LMS, affine projection, RLS, set-membership algorithms and Kalman filters, as well as nonlinear, sub-band, blind, IIR adaptive filtering, and more. Problems are included at the end of chapters. A MATLAB package is provided so the reader can solve new problems and test algorithms. The book also offers easy access to working algorithms for practicing engineers.
Book Synopsis Split Recursive Least Squares: Algorithms, Architectures, and Applications by : A.-Y. Wu
Download or read book Split Recursive Least Squares: Algorithms, Architectures, and Applications written by A.-Y. Wu and published by . This book was released on 1994 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis An Inverse QR Recursive Least Squares Algorithm for Adaptive Filtering by : Avinash Ghirnikar
Download or read book An Inverse QR Recursive Least Squares Algorithm for Adaptive Filtering written by Avinash Ghirnikar and published by . This book was released on 1990 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Scientific and Technical Aerospace Reports by :
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1993 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :Simon S. Haykin Publisher :Hamilton, Ont. : Communications Research Laboratory, McMaster University ISBN 13 : Total Pages :29 pages Book Rating :4.:/5 (268 download)
Book Synopsis Fast QR Decomposition-based Algorithms for Recursive Least Squares Estimation by : Simon S. Haykin
Download or read book Fast QR Decomposition-based Algorithms for Recursive Least Squares Estimation written by Simon S. Haykin and published by Hamilton, Ont. : Communications Research Laboratory, McMaster University. This book was released on 1990 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Partial Update Least-Square Adaptive Filtering by : Bei Xie
Download or read book Partial Update Least-Square Adaptive Filtering written by Bei Xie and published by Springer. This book was released on 2014-05-19 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Digital Signal Processing for Multimedia Systems by : Keshab K. Parhi
Download or read book Digital Signal Processing for Multimedia Systems written by Keshab K. Parhi and published by CRC Press. This book was released on 2018-10-03 with total page 817 pages. Available in PDF, EPUB and Kindle. Book excerpt: Addresses a wide selection of multimedia applications, programmable and custom architectures for the implementations of multimedia systems, and arithmetic architectures and design methodologies. The book covers recent applications of digital signal processing algorithms in multimedia, presents high-speed and low-priority binary and finite field arithmetic architectures, details VHDL-based implementation approaches, and more.
Book Synopsis ICASSP 88: V & E, VLSI, spectral estimation by :
Download or read book ICASSP 88: V & E, VLSI, spectral estimation written by and published by . This book was released on 1988 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Adaptive Nonlinear System Identification by : Tokunbo Ogunfunmi
Download or read book Adaptive Nonlinear System Identification written by Tokunbo Ogunfunmi and published by Springer Science & Business Media. This book was released on 2007-09-05 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focuses on System Identification applications of the adaptive methods presented. but which can also be applied to other applications of adaptive nonlinear processes. Covers recent research results in the area of adaptive nonlinear system identification from the authors and other researchers in the field.