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Book
Partial update least-square adaptive filtering
Authors: ---
ISBN: 1627052321 Year: 2014 Publisher: [San Rafael, California] : Morgan & Claypool Publishers,

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Abstract

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(N2)) 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.

Theory of the combination of observations least subject to errors
Authors: ---
ISBN: 0898713471 Year: 1995 Volume: 11 Publisher: Philadelphia, Pa Society for Industrial and Applied Mathematics


Book
Applying partial least squares in tourism and hospitality research
Authors: --- ---
ISBN: 178756701X 1787566994 9781787567016 9781787566996 1787567001 1787567028 9781787567009 Year: 2019 Publisher: Bingley, UK Emerald Publishing Limited

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Abstract

Ten chapters discuss key aspects of advanced PLS analysis and its practical applications, covering new guidelines and improvements in the use of PLS-PM as well as various individual topics.

Filtering and system identification : a least squares approach
Authors: --- ---
ISBN: 9780521875127 0521875129 9780511618888 9781107405028 9780511279508 0511279507 9780511278327 0511278322 9780511277733 0511277733 051127890X 9780511278907 0511618883 1280850736 9781280850738 1107181925 9781107181922 1107386470 9781107386471 9786610850730 6610850739 0511322054 9780511322051 Year: 2007 Publisher: Cambridge : Cambridge University Press,

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Abstract

Filtering and system identification are powerful techniques for building models of complex systems. This 2007 book discusses the design of reliable numerical methods to retrieve missing information in models derived using these techniques. Emphasis is on the least squares approach as applied to the linear state-space model, and problems of increasing complexity are analyzed and solved within this framework, starting with the Kalman filter and concluding with the estimation of a full model, noise statistics and state estimator directly from the data. Key background topics, including linear matrix algebra and linear system theory, are covered, followed by different estimation and identification methods in the state-space model. With end-of-chapter exercises, MATLAB simulations and numerous illustrations, this book will appeal to graduate students and researchers in electrical, mechanical and aerospace engineering. It is also useful for practitioners. Additional resources for this title, including solutions for instructors, are available online at www.cambridge.org/9780521875127.

Recent advances in total least squares techniques and errors-in-variables modeling
Authors: --- ---
ISBN: 0898713935 Year: 1997 Publisher: Philadelphia (Pa.) SIAM


Book
Running regressions : a practical guide to quantitative research in economics, finance and development studies
Authors: --- ---
ISBN: 1139698478 1139861468 0511814836 Year: 2009 Publisher: Cambridge : Cambridge University Press,

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Abstract

Running Regressions introduces first-year social science undergraduates, particularly those studying economics and business, to the practical aspects of simple regression analysis, without adopting an esoteric, mathematical approach. It shows that statistical analysis can be simultaneously straightforward, useful and interesting, and can deal with topical, real-world issues. Each chapter introduces an economic theory or idea by relating it to an issue of topical interest, and explains how data and econometric analysis can be used to test it. The book can be used as a self-standing text or to supplement conventional econometric texts. It is also ideally suited as a guide to essays and project work.


Book
Statistical learning with sparsity : the lasso and generalizations
Authors: --- --- --- --- --- et al.
ISSN: 09606696 ISBN: 9781498712163 1498712169 Year: 2015 Volume: 143 Publisher: Boca Raton CRC Press, Taylor & Francis Group

The total least squares problem: computational aspects and analysis
Authors: ---
ISBN: 0898712750 Year: 1991 Volume: 9 Publisher: Philadelphia, Pa Society for Industrial and Applied Mathematics

Numerical methods for least squares problems
Author:
ISBN: 0898713609 Year: 1996 Publisher: Philadelphia : Society for Industrial and Applied Mathematics,

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