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Recursive least squares Harmonic identification in active power filters
2007 European Control Conference (ECC), 2007A new least squares Harmonic identification technique is developed. This technique is used basically to estimate the fundamental component of the current drawn by nonlinear loads in order to calculate the reference currents of the active power filter on line.
A. El Zawawi +2 more
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A Recursive Least-squares Algorithm Based on the Nearest Kronecker Product Decomposition
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2019The recursive least-squares (RLS) adaptive filter is an appealing choice in system identification problems, mainly due to its fast convergence rate. However, this algorithm is computationally very complex, which may make it useless for the identification
Camelia Elisei-Iliescu +3 more
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A notch filter based on recursive least-squares modelling
Signal Processing, 1994zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Carlsson, Bengt, Händel, Peter
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Weighted least-squares design of recursive allpass filters
IEEE Transactions on Signal Processing, 1996A method for the design of allpass filters is described. In this method, an error reflecting the difference between the desired phase response and the phase response of the practical allpass filter is formulated in a quadratic form. The coefficients are obtained by solving a system of linear equations involving the sum of a Toeplitz and an Hankel ...
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A Filtering Based Recursive Extended Least Squares Identification Algorithm
2019 Chinese Control Conference (CCC), 2019Based on the standard recursive generalized extended least squares (RGELS) algorithm and the filtering based recursive least squares (F-RLS) algorithm, a new type of filtering based algorithm is presented for ARARMAX model in this paper. The core idea is to transform the ARARMAX model into an ARMAX model by introducing a filter for the input and output
Ai-Guo Wu, You-Zhou Ji, Xi Dong
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Echo state kernel recursive least squares algorithm for machine condition prediction
Mechanical systems and signal processing, 2018Kernel adaptive filter (KAF) has been widely utilized for time series prediction due to its online adaptation scheme, universal approximation capability and convexity.
Haowen Zhou +4 more
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Fixed memory least squares filters using recursion methods
IEEE Transactions on Information Theory, 1957Given a set of equally spaced measurements, it is possible to curve fit a "least squares" polynomial to the N observed data points and obtain estimates of the past, present, or future values of the data or its derivatives by appropriate manipulations of the curve fit.
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The Generalized Sliding-Window recursive least-squares lattice filter
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013The Generalized Sliding-Window Fast Transversal Filter (GSWFTF) is an extension of the exponentially weighted fast RLS algorithm, which inherits its rapid convergence while featuring the desired robustness of affine projection algorithms. Motivated by the numerical difficulties typical from such adaptive transversal realizations, we develop the lattice
Hugo M. Spinelli, Ricardo Merched
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