Results 261 to 270 of about 16,837,259 (303)

Selected Structures of Filters With Time-Varying Parameters

IEEE Transactions on Instrumentation and Measurement, 2007
One important problem of signal processing in measurement systems is designing a filter that possesses a linear-phase response and, at the same time, has a short transient state. This paper presents the methodology of varying, in the time parameters, a low-pass Bessel filter and a filter of a constant component.
Roman Kaszynski, Jacek Piskorowski
openaire   +2 more sources

Quantile Search with Time-Varying Search Parameter

2018 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
We consider the problem of active learning in the context of spatial sampling, where the sampling cost is a function of both the number of samples taken and the distance traveled during the sampling procedure. We present Uniform-to-Binary (UTB) search, a novel algorithm in this setting.
John Lipor, Gautam Dasarathy
openaire   +2 more sources

Bounded-error tracking of time-varying parameters

IEEE Transactions on Automatic Control, 1994
Bounded-error estimation aims at characterizing the set of all parameter vectors consistent with given data and prior bounds on acceptable values for the errors. In this paper, two recursive polyhedric description algorithms are presented for tracking time-varying parameters of models with outputs linear in their parameters. The performances of the two
Hélène Piet-Lahanier, Eric Walter
openaire   +3 more sources

Adaptive identification algorithms for time-varying parameters

Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228), 2002
Adaptive identification of rapidly changing parameters is essentially needed in adaptive signal processing and adaptive control. New accelerated LMS and RLS type of adaptive algorithms are given from a standpoint that any parameter changes can be approximately expressed by a finite degree of polynomial function of time.
Koichi Hidaka, Hiromitsu Ohmori, Akira Sano   +2 more
openaire   +1 more source

An adaptive filter for time‐varying‐parameter models

International Journal of Adaptive Control and Signal Processing, 1990
AbstractA non‐linear adaptive filter is introduced and applied to the classical problem of estimating time‐varying‐parameter linear regression models with unknown error variances and a time‐varying transition matrix. The filter is basically a new result in what is known as Sridhar filtering theory.
Abutaleb, A., Papaionnou, M.
openaire   +2 more sources

On the Identification of Hammerstein Systems with Time-Varying Parameters

2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007
A growing emphasis on the analysis of time-varying systems has intensified the need for simpler and more efficient identification methods for these systems. In this contribution, we examine the time-varying Hammerstein structure, comprising a memoryless nonlinearity with time-varying parameters followed by a time-varying linear filter.
Bashiru I, Ikharia, David T, Westwick
openaire   +2 more sources

IDENTIFICATION OF TIME VARYING PARAMETERS OF THE ROBOT DYNAMICS

IFAC Proceedings Volumes, 1988
Abstract The robot dynamics consists of the dynamics of the mechanics, the servo-drives, and the robot controller structure. The dynamics of the mechanics is simulated by the equation of motion which is set up automatically by a computer program. The robot controller is taken into account too, to simulate the robot dynamics.
U. Zimmermann, H. Wunderlich, H. Rake, M. Bruns   +3 more
openaire   +1 more source

LMS-LIKE ESTIMATION FOR TIME VARYING PARAMETERS

Acta Mathematica Scientia, 1991
The authors consider linear models of the type \(y_ n=\varphi^ \tau_ n\theta_ n+v_ n\), \(n\geq 0\), where \(\theta_ n\) denotes a (possibly random) time-dependent parameter of interest, \(y_ n\) the (real-valued) system output, \(\varphi_ n\) an \(r\)-dimensional regressor, and \(v_ n\) the system noise.
Chen, H. F., Guo, L., Zhang, J. F.
openaire   +2 more sources

Parameter estimation on linear time-varying systems

Journal of the Franklin Institute, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Luiz Cláudio Andrade Souza, Reinaldo Martinez Palhares   +1 more
openaire   +3 more sources

Time‐Varying Parameter Realized Volatility Models

Journal of Forecasting, 2016
In this paper, we introduce the functional coefficient to heterogeneous autoregressive realized volatility (HAR‐RV) models to make the parameters change over time. A nonparametric statistic is developed to perform a specification test. The simulation results show that our test displays reliable size and good power.
Wang, Yudong, Pan, Zhiyuan, Wu, Chongfeng   +2 more
openaire   +2 more sources