Topic
Kernel adaptive filter
About: Kernel adaptive filter is a research topic. Over the lifetime, 8771 publications have been published within this topic receiving 142711 citations.
Papers published on a yearly basis
Papers
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06 Mar 2004
TL;DR: A new approach to solving the GMTI tracking problem using a particle filter is presented, where the particles model the uncertainty over the motion model while, conditional upon the model, the target state is modelled using an unscented Kalman filter.
Abstract: Ground moving target indicator (GMTI) tracking is often carried out using extended Kalman filters, as in the variable-structure interacting multiple-model (VS-IMM) filter. In some scenarios, however, this is considered to be inadequate. It has been shown that in this case, a particle filter can give better performance. Such a filter, the variable-structure multiple-model particle filter (VS-MMPF), is given in the literature. In this paper we present a new approach to solving the GMTI tracking problem using a particle filter. We have developed an unscented particle filter, where the particles model the uncertainty over the motion model while, conditional upon the model, the target state is modelled using an unscented Kalman filter. Simulation results show that the UPF-based filter gives performance similar to the VS-MMPF with significantly fewer particles and better results than the standard VS-IMM approach.
45 citations
TL;DR: An adaptive notch filter is investigated for eliminating sinusoids imbedded in noise and converges rapidly and attains the Cramer-Rao bound (CRB) for a sufficient large data set.
45 citations
Patent•
06 Jul 1993
TL;DR: In this paper, an active control apparatus using an adaptive IIR digital filter includes a coefficient control portion for updating the filter coefficient of a recursive portion so as to minimize the output level of recursive portion.
Abstract: An active control apparatus using an adaptive IIR digital filter includes a coefficient control portion for updating the filter coefficient of adaptive IIR digital filter so as to minimize an output error signal level, and a coefficient control portion for updating the filter coefficient of a recursive portion so as to minimize the output level of recursive portion. The filter coefficient of recursive filter is updated by these two coefficient control portions and in parallel or in a time-dividing manner.
45 citations
Patent•
28 Jun 2002TL;DR: In this article, an error convergence measurement circuit for providing convergence of a filter includes a terminating component configured to terminate filter convergence independent of an operating environment of the filter, and selectable termination threshold levels are provided.
Abstract: An error convergence measurement circuit for providing convergence of a filter includes a terminating component configured to terminate filter convergence independent of an operating environment of the filter. Selectable termination threshold levels are provided.
45 citations
TL;DR: A neural network adaptive filter is introduced for the removal of impulse noise in digital images using pixel classification by a self-organising neural network to detect the positions of the noisy pixels.
45 citations