Publication

An l2-stable feedback structure for nonlinear adaptive filtering and identification

Publications associées (38)

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Explicit Recursive and Adaptive Filtering in Reproducing Kernel Hilbert Spaces

Devis Tuia

This brief presents a methodology to develop recursive filters in reproducing kernel Hilbert spaces. Unlike previous approaches that exploit the kernel trick on filtered and then mapped samples, we explicitly define the model recursivity in the Hilbert spa ...

Ieee-Inst Electrical Electronics Engineers Inc2014

Improved Estimation of the Specific Differential Phase Shift Using a Compilation of Kalman Filter Ensembles

Alexis Berne, Jacopo Grazioli, Marc Schneebeli Zeugin

A new algorithm for the accurate estimation of the specific differential phase shift on propagation (K-dp) from noisy total differential phase shift (Psi(dp)) measurements is presented for data acquired with a polarimetric weather radar. The new approach, ...

Institute of Electrical and Electronics Engineers2014

Real time multi-object tracking using multiple cameras

Michail Zervos

We build a real-time multi-people tracker, which is based on the Kalman Filter. The input to the software is a Probabilistic Occupancy Map of the observed area. The main goal of the project is to incorporate this tracker to the real-time detection software ...

2012

Distributed Detection Over Adaptive Networks Using Diffusion Adaptation

Ali H. Sayed

We study the problem of distributed detection, where a set of nodes is required to decide between two hypotheses based on available measurements. We seek fully distributed and adaptive implementations, where all nodes make individual real-time decisions by ...

IEEE2011

Design, Optimization, and Sensorless Control of a Linear Actuator

Joël Maridor

Electrical contactors are relays for interputing high currents (up to 2000 A). They consist of three main distinct parts: the low voltage circuit, the high voltage circuit and the linear actuator that moves the contact. The purpose of this thesis is to des ...

EPFL2011

Distributed nonlinear Kalman filtering with applications to wireless localization

Ali H. Sayed

We study the problem of distributed state-space estimation, where a set of nodes are required to estimate the state of a nonlinear state-space system based on their observations. We extend our previous work on distributed Kalman filtering to the nonlinear ...

IEEE2010

Diffusion Strategies for Distributed Kalman Filtering and Smoothing

Ali H. Sayed

We study the problem of distributed Kalman filtering and smoothing, where a set of nodes is required to estimate the state of a linear dynamic system from in a collaborative manner. Our focus is on diffusion strategies, where nodes communicate with their d ...

IEEE2010

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

Scalable Delivery of Stream Query Result

Karl Aberer, Ali Salehi

Continuous queries over data streams typically produce large volumes of result streams. To scale up the system, one should carefully study the problem of delivering the result streams to the end users, which, unfortunately, is often over-looked in existing ...

VLDB2009

Practical algorithms for gathering stored correlated data in a network

Ramin Khalili

Many sensing systems remotely monitor/measure an environment at several sites, and then report these observations to a central site. We propose and investigate several practical algorithms for joint routing and compression of data files as they are forward ...

2008