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A unified derivation of square-root multichannel least-squares filtering algorithms

Publications associées (96)

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Multistream speaker diarization of meetings recordings beyond MFCC and TDOA features

Hervé Bourlard, Fabio Valente, Deepu Vijayasenan

Many state-of-the-art diarization systems for meeting recordings are based on the HMM/GMM framework and the combination of spectral (MFCC) and time delay of arrivals (TDOA) features. This paper presents an extensive study on how multistream diarization can ...

2012

Stochastic Model Predictive Control: Controlling the Average Number of Constraint Violations

Colin Neil Jones, Milan Korda

This paper considers linear discrete-time systems with additive bounded disturbances subject to hard control input bounds and constraints on the expected number of state-constraint violations averaged over time, or, equivalently, constraints on the probabi ...

2012

A Speculation-Friendly Binary Search Tree

Vincent Gramoli

We introduce the first binary search tree algorithm designed for speculative executions. Prior to this work, tree structures were mainly designed for their pessimistic (non-speculative) accesses to have a bounded complexity. Researchers tried to evaluate t ...

Assoc Computing Machinery2012

COMMENT ON “MIXING BELIEFS AMONG INTERACTING AGENTS”

Jean-Yves Le Boudec, Javier Gomez Serrano

We comment on the derivation of the main equation in the bounded confidence model of opinion dynamics. In the original work, the equation is derived using an ad-hoc counting method. We point that the original derivation does contain some small mistake. The ...

World Scientific Publ Co Pte Ltd2012

Strongly feasible stochastic model predictive control

Milan Korda

In this article we develop a systematic approach to enforce strong feasibility of probabilistically constrained stochastic model predictive control problems for linear discrete-time systems under affine disturbance feedback policies. Two approaches are pre ...

2011

Recipes on Hard Thresholding Methods

Volkan Cevher, Anastasios Kyrillidis

Compressive sensing (CS) is a data acquisition and recovery technique for finding sparse solutions to linear inverse problems from sub-Nyquist measurements. CS features a wide range of computationally efficient and robust signal recovery methods, based on ...

2011

Moving horizon partition-based state estimation of large-scale systems

Giancarlo Ferrari Trecate, Marcello Farina

This paper presents three novel Moving Horizon Estimation (MHE) methods for discrete-time partitioned linear systems, i.e. systems decomposed into coupled subsystems with non-overlapping states. The MHE approach is used due to its capability of exploiting ...

2010

FASTER CADZOW DENOISING BASED ON PARTIAL EIGENVALUE DECOMPOSITION

Yann Barbotin

Certain aspects of the present disclosure relate to a method for speeding up the Cadzow iterative denoising algorithm as a part of the Finite Rate of Innovation (FRI) processing and for decreasing its computational complexity. ...

USPTO2010

Computing in Social Networks

Rachid Guerraoui, Anne-Marie Kermarrec, Kévin Clément Huguenin, Andrei Giurgiu

This paper defines the problem of Scalable Secure Computing in a Social network: we call it the S-3 problem. In short, nodes, directly reflecting on associated users, need to compute a function f : V -> U of their inputs in a set of constant size, in a sca ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2010

Recursive column generation for the Tactical Berth Allocation Problem

Michel Bierlaire, Matteo Salani, Ilaria Vacca

Seaport container terminals are source of many interesting large-scale optimization problems, that arise in the management of operations at several decision levels. In this work we study exact methods to solve the Tactical Berth Allocation Problem with Qua ...

2010