Results 231 to 240 of about 49,604 (295)

A fast recursive least-squares second order Volterra filter

ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing, 2003
A fast, recursive least-squares (RLS) adaptive nonlinear filter is presented. The nonlinearity is modeled using a second-order Volterra-series expansion. The structure makes use of the ideas of fast RLS multichannel filters and has a computational complexity of O(N/sup 3/) multiplications.
V.J. Mathews, J. Lee
openaire   +1 more source

Recursive least square filtering for two-dimensional radom fields

1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes, 1978
An approximate two-dimensional recursive filtering algorithm that parallels Kalman filter is presented for a causal system considered in [1].
Tohru Katayama, Michitaka Kosaka
openaire   +1 more source

Recursive Least-Squares Algorithms for the Identification of Low-Rank Systems

IEEE/ACM Transactions on Audio Speech and Language Processing, 2019
The recursive least-squares (RLS) adaptive filter is an appealing choice in many system identification problems. The main reason behind its popularity is its fast convergence rate.
Camelia Elisei-Iliescu, C. Paleologu, J. Benesty, C. Stanciu, C. Anghel, S. Ciochină   +5 more
semanticscholar   +1 more source

Parallel recursive least squares algorithms for adaptive Volterra filters

[Proceedings] 1992 IEEE International Symposium on Circuits and Systems, 2003
The authors present a parallel but approximate version of the exact recursive least squares algorithm. This algorithm, called the parallel recursive least squares (PRLS) algorithm, has been applied to adaptive Volterra filters. It has advantages of reduced cost per iteration and substantial reduction in computational time per iteration if more than one
A.K. Chaturvedi, G. Sharma
openaire   +1 more source

Real-time dynamic displacement monitoring with double integration of acceleration based on recursive least squares method

Measurement, 2019
Due to the difficulty of establishing fixed reference points, it is difficult to monitor displacement of a civil engineering structure in the field for long term.
Wenhao Zheng, D. Dan, Wei Cheng, Ye Xia
semanticscholar   +1 more source

A filtering‐based recursive extended least squares algorithm and its convergence for finite impulse response moving average systems

International Journal of Robust and Nonlinear Control
This article considers the parameter identification problems of stochastic systems which described by the finite impulse response moving average model. Since the system is disturbed by colored noise, we introduce the data filtering technique from a view ...
Jiayun Zheng, Feng Ding
semanticscholar   +1 more source

On robust Kalman filter for two-dimensional uncertain linear discrete time-varying systems: A least squares method

at - Automatisierungstechnik, 2019
The robust Kalman filter design problem for two-dimensional uncertain linear discrete time-varying systems with stochastic noises is investigated in this study.
Dong Zhao, S. Ding, H. Karimi, Yueyang Li, Youqing Wang   +4 more
semanticscholar   +1 more source

Recursive Least Squares adaptive filters for ultrasonic signal deconvolution

2008 IEEE International Symposium on Circuits and Systems (ISCAS), 2008
Biomedical ultrasound (US) image quality is limited due to the blurring of tissue reflectivity introduced by the transducer point spread function (PSF). Deconvolution techniques can be used to eliminate this effect and to obtain the pure tissue response.
ALESSANDRINI, MARTINO, DE MARCHI, LUCA, SPECIALE, NICOLO'ATTILIO   +2 more
openaire   +2 more sources

Recursive total least squares algorithms for adaptive filtering

[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991
An algorithm for efficiently computing the eigenvector associated with the minimum eigenvalue of a correlation matrix is designed. This algorithm can be used to compute the total least squares (TLS) solution to the linear regression problem which yields unbiased equation-error infinite impulse response (IIR) adaptive filters.
openaire   +1 more source

A novel approach for stabilizing recursive least squares filters

IEEE Transactions on Signal Processing, 1991
A novel approach for stabilizing recursive least squares (RLS) filters is presented. The approach relies on a detailed fixed point analysis, which provides two important benefits. The analysis reveals a bias in the error propagation mechanism, providing an analytical basis for instability problems.
G.E. Bottomley, S.T. Alexander
openaire   +1 more source