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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

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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… 
2004
2004
Affine projection and recursive least squares adaptive filters employing partial updates
We present order K affine projection and recursive least squares adaptive filters employing partial update schemes. The starting… 
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… 
1991
1991
Recursive total-least-squares adaptive filtering
In this paper a recursive total least squares (RTLS) adaptive filter is introduced and studied. The TLS approach is more… 
1990
1990
Speech analysis using the weighted recursive least squares algorithm with a variable forgetting factor
A weighted recursive least-squares algorithm with a variable forgetting factor (WRLS-VFF) is introduced for speech signal… 
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… 
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