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Recursive least squares filter

Known as: Recursive Least Squares, Recursive least squares algorithm, RLS algorithm 
The Recursive least squares (RLS) is an adaptive filter which recursively finds the coefficients that minimize a weighted linear least squares cost… 
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Related topics

Related topics

12 relations
Adaptive beamformerAdaptive equalizerAdaptive filterAlgebraic Riccati equation

Broader (1)

Digital signal processing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Maneuvering target tracking using fuzzy logic-based recursive least squares filter
In this paper, a fuzzy logic-based recursive least squares filter (FLRLSF) is presented for maneuvering target tracking (MTT) in… 
2007
2007
Bias Compensation Recursive Least Squares Identification for Output Error Systems with Colored Noises
  • Y. Hui
  • 2007
  • Corpus ID: 124167725
Based on the bias compensation principle and pre-filtering idea,this paper derives a bias compensation recursive least squares… 
1997
1997
High sample-rate Givens rotations for recursive least squares
The design of an application-specific integrated circuit of a parallel array processor is considered for recursive least squares… 
1993
1993
Joint time-delay estimation and adaptive recursive least squares filtering
A general estimation model is defined in which two observations are available: a noisy and a noise-filtered and delayed version… 
1990
1990
Stable recursive least squares filtering using an inverse QR decomposition
The performance of recursive-least-squares (RLS) algorithm based on an inverse QR decomposition is reported. Theoretical analysis… 
1988
1988
A fast recursive least-squares second order Volterra filter
A fast, recursive least-squares (RLS) adaptive nonlinear filter is presented. The nonlinearity is modeled using a second-order… 
Highly Cited
1987
Highly Cited
1987
Identification of nonlinear vibrating structures: Part I -- Formulation
A self-starting multistage, time-domain procedure is presented for the identification of nonlinear, multi-degree-of-freedom… 
1986
1986
Floating-point error analysis of recursive least-squares and least-mean-squares adaptive filters
A floating-point error analysis of the Recursive LeastSquares (RLS) and Least-Mean-Squares (LMS) algorithms is presented. Both… 
Highly Cited
1981
Highly Cited
1981
Application of Least Squares Lattice Algorithms to Adaptive Equalization
In many applications of adaptive data equalization, rapid initial convergence of the adaptive equalizer is of paramount… 
Highly Cited
1978
Highly Cited
1978
Application of Fast Kalman Estimation to Adaptive Equalization
Very rapid initial convergence of the equalizer tap coefficients is a requirement of many data communication systems which employ… 
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