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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 subjects to errors
Authors: ---
ISBN: 0898713471 Year: 1995 Volume: 11 Publisher: Philadelphia (Pa.): SIAM


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,

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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.


Book
Least Squares Data Fitting with Applications
Authors: --- --- ---
ISBN: 1421408589 9781421408583 1421407868 9781421407869 Year: 2013 Publisher: Baltimore, Md. : Johns Hopkins University Press,

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: New York : 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.): SIAM

Numerical methods for least squares problems
Author:
ISBN: 0898713609 Year: 1996 Publisher: Philadelphia (Pa.): SIAM

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