Results 241 to 250 of about 95,139 (292)

A Decomposition-Based RLS Algorithm with Variable Forgetting Factors

2020 13th International Conference on Communications (COMM), 2020
The performance of the recursive least-squares (RLS) algorithm is mainly controlled by the forgetting factor. Using a constant value of this important parameter leads to a compromise between the main performance criteria, i.e., low misadjustment versus fast tracking.
Camelia Elisei-Iliescu, Constantin Paleologu, Jacob Benesty, Cristian Stanciu, Cristian Anghel, Silviu Ciochina   +5 more
openaire   +1 more source

Variable forgetting factor RLS algorithm for adaptive echo cancellation

2014 14th International Conference on Control, Automation and Systems (ICCAS 2014), 2014
Adaptive algorithms are widely used for support a wide range of applications. The attractive one application is an echo canceller in the long distance telephone network. The performance improvement of the echo cancellers depends on the choice of the adaptive filtering algorithm.
Sethaphak Sukhumalchayaphong, Chawalit Benjangkaprasert   +1 more
openaire   +1 more source

A practical variable forgetting factor recursive least-squares algorithm

2014 11th International Symposium on Electronics and Telecommunications (ISETC), 2014
In the context of adaptive filtering, the recursive least-squares (RLS) is a very popular algorithm, especially for its fast convergence rate. The most important parameter of this algorithm is the forgetting factor. It is well-known that a constant value of this parameter leads to a compromise between misadjustment and tracking.
Constantin Paleologu, Jacob Benesty, Silviu Ciochina   +2 more
openaire   +1 more source

RLS lattice algorithm using gradient based variable forgetting factor

Proceedings of the International Joint Conference on Neural Networks, 2003., 2004
A gradient based variable forgetting factor (GVFF) RLS lattice (RLSL) algorithm is introduced in this paper. The steepest descent approach is used to control the forgetting factor which is based on the dynamic equation of the gradient of the mean square error.
C.F. So, S.C. Ng, S.H. Leung
openaire   +1 more source

A variable forgetting factor RLS adaptive filtering algorithm

2009 3rd IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2009
The recursive least squares algorithm (RLS) is realized in MATLAB. Simulation results show that forgetting factor influences the algorithm convergence and stability, which will significantly affect the performance of adaptive filter. Therefore, a variable forgetting factor RLS algorithm is presented in this paper.
openaire   +1 more source

Subspace predictive controlle method with updating variable forgetting factor

2011 2nd International Conference on Control, Instrumentation and Automation (ICCIA), 2011
According to the general form of updating data with forgetting factor, several conclusions are obtained in updating I/O Hankel matrices. Based on these conclusions, new subspace identification and relative SPC methods are proposed with variable forgetting factor for improving the performance in tracking the time-varying information.
null Huang Jin-Feng, null Zhang He-Xin, null Fan Jin-Suo, null Wu Yu-Bin   +3 more
openaire   +1 more source

LATTICE ALGORITHMS WITH VARIABLE FORGETTING FACTORS DETECTING INTERVENTIONS AND PARAMETRIC CHANGES

IFAC Proceedings Volumes, 1990
Abstract In this paper we introduce variable forgetting factors in lattice algorithms. We show that the resulting algorithms are very useful to detect interventions in time series and to track parameter variations. Several well-known series in the specialized literature are used to ilustrate the results and other simulated series are used to show the
D. De la Fuente, D.F. Garcia
openaire   +1 more source

Variable forgetting factors in Kalman filtering

1994
Kodak Signature Color Proofing System is a machine that tests the color texture of a picture for separation of its components into magenta, cian, yellow and black. Actually the first three determine the color and the black component determines the brightness.
openaire   +1 more source

Variable Forgetting Factor Recursive Least Square Control Algorithm for DSTATCOM

IEEE Transactions on Power Delivery, 2015
This paper proposes an implementation of distribution static compensator (DSTATCOM) for the three-phase distribution system. The functions of DSTATCOM are harmonics elimination, compensation of reactive power, and load balancing in power factor correction and voltage regulation modes.
Manoj Badoni, Alka Singh, Bhim Singh
openaire   +1 more source

Nonlinear RLS algorithm using variable forgetting factor in mixture noise

2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2002
In an impulsive noise environment, most learning algorithms encounter difficulty in distinguishing the nature of a large error signal, whether caused by the impulse noise or model error. Consequently, they suffer from large misadjustment or otherwise slow convergence. A new nonlinear RLS (VFF-NRLS) adaptive algorithm with variable forgetting factor for
S.H. Leung, C.F. So
openaire   +1 more source