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Robust Active Noise Control Design by Optimal Weighted Least Squares Approach
IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2019An optimal strategy is derived for robust performance of feedforward and feedback noise controllers in active noise control systems with a bounded narrowband disturbance.
Muhammad Saeed Aslam, P. Shi, C. Lim
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Optimized sample-weighted partial least squares
Talanta, 2007In ordinary multivariate calibration methods, when the calibration set is determined to build the model describing the relationship between the dependent variables and the predictor variables, each sample in the calibration set makes the same contribution to the model, where the difference of representativeness between the samples is ignored.
Lu, Xu +6 more
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Weighted-average least squares: Improvements and extensions
The Stata Journal: Promoting communications on statistics and StataThis article presents version 3.0 of the wals command, which implements the weighted-average least-squares estimator of Magnus, Powell, and Prüfer (2010, Journal of Econometrics 154: 139–153).
Luca, Giuseppe De, Magnus, Jan R.
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A General Weighted Average Representation of the Ordinary and Two-Stage Least Squares Estimands
Social Science Research Network, 2018It is standard practice in applied work to study the effect of a binary variable ("treatment") on an outcome of interest using linear models with additive effects.
Tymon Sloczy'nski
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Weighted Least-Squares Smoothing Filters
IRE Transactions on Circuit Theory, 1955This paper differs from many others on least square filtering, in that no explicit note has been taken of the noise spectrum, at least no more than is taken when one fits a curve of least squares to a set of data. The concept of a least weighted error, not new in curve fitting, has, to the author's knowledge, never before been applied to a filter ...
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On the weighting method for mixed least squares–total least squares problems
Numerical Linear Algebra with Applications, 2017SummaryIt is well known that the standard algorithm for the mixed least squares–total least squares (MTLS) problem uses the QR factorization to reduce the original problem into a standard total least squares problem with smaller size, which can be solved based on the singular value decomposition (SVD).
Qiaohua Liu, Minghui Wang
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Weighted least-squares blind deconvolution
1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 1999This paper presents a new cost function for blind deconvolution of non-minimum phase systems. The proposed criterion arises as a natural consequence of a fundamental theorem proved by Benveniste, Goursat and Ruget (1980), and appears to be the weighted square of the difference among two spectra, thus its minimization leads to a weighted least-squares ...
S. Fiori, F. Piazza
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Weighted least square ensemble networks
IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339), 2003Ensemble of networks has been proven to give better prediction result than a single network. Two commonly used methods of determining the ensemble weights are simple average ensemble method and the generalized ensemble method. In the paper, we propose a weighted least square ensemble network.
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Iterative Constrained Weighted Least Squares Source Localization Using TDOA and FDOA Measurements
IEEE Transactions on Signal Processing, 2017Xiaomei Qu, Lihua Xie, Wenrong Tan
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Neither fixed nor random: weighted least squares meta‐regression
Research Synthesis Methods, 2017T. Stanley, Hristos Doucouliagos
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