Concept

Adaptive filter

Related publications (95)

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A Reciprocal Sampling Algorithm for Lightweight Distributed Multi-Robot Localization

Alcherio Martinoli, Amanda Stella Markowska Prorok

This work is situated in the context of collaboratively solving the localization problem for unknown initial conditions. We address this problem with a novel, fully decentralized, real-time particle filter algorithm, designed to accommodate realistic robot ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Unbiased Model Combinations for Adaptive Filtering

Ali H. Sayed

In this paper, we consider model combination methods for adaptive filtering that perform unbiased estimation. In this widely studied framework, two adaptive filters are run in parallel, each producing unbiased estimates of an underlying linear model. The o ...

IEEE2010

Adaptive tracking of EEG oscillations

Jean-Marc Vesin, Laurent Renaud Uldry, Cédric Duchene, Yann Prudat, Jérôme Sébastien Van Zaen

Neuronal oscillations are an important aspect of EEG recordings. These oscillations are supposed to be involved in several cognitive mechanisms. For instance, oscillatory activity is considered a key component for the top-down control of perception. Howeve ...

2010

Steady-State MSE Performance Analysis of Mixture Approaches to Adaptive Filtering

Ali H. Sayed

In this paper, we consider mixture approaches that adaptively combine outputs of several parallel running adaptive algorithms. These parallel units can be considered as diversity branches that can be exploited to improve the overall performance. We study v ...

IEEE2010

Reduced Basis method for parametrized elliptic advection-reaction problems

Luca Dede'

In this work we consider the Reduced Basis method for the solution of parametrized advection-reaction partial differential equations. For the generation of the basis we adopt a stabilized finite element method and we define the Reduced Basis method in the ...

2010

Diffusion distributed Kalman filtering with adaptive weights

Ali H. Sayed

We study the problem of distributed Kalman filtering, where a set of nodes are required to collectively estimate the state of a linear dynamic system from their measurements. In diffusion Kalman filtering strategies, neighboring state estimates are linearl ...

IEEE2009

Adaptive frequency tracking and application to biomedical signals

Yann Prudat

The main information of a signal resides in its frequency, its amplitude (or its power) and in their temporal evolution. Thus, a great number of methods for instantaneous frequency estimation have been proposed in the literature. Most of these algorithms u ...

EPFL2009

Phase extraction of non-stationary signals produced in dynamic interferometry involving speckle waves

Sébastien Equis

It is now widely acknowledged, among communities of researchers and engineers of very different horizons, that speckle interferometry (SI) offers powerful techniques to characterize mechanical rough surfaces with a submicronic accuracy in static or quasi-s ...

EPFL2009

Distributed adaptive learning mechanisms

Ali H. Sayed

The chapter describes recent developments in distributed processing over adaptive networks. The resulting adaptive learning rules rely on local data at the individual nodes and on collaborations among neighboring nodes in order to exploit the space-time di ...

John Wiley & Sons, Inc.2009

Gilbert-Multiplier-Based Parallel 1-D and 2-D Analog FIR Filters for Medical Diagnostics

Rafal Tomasz Dlugosz

A novel idea and CMOS implementation of power-efficient 1-D and 2-D finite-impulse-response (FIR) filters based on a current-mode Gilbertvector- multiplier (GVM) have been proposed. MOS transistors included in the GVM multiplier work in a weak inversion re ...

Springer-Verlang2009