Publications associées à Adaptive estimation algorithms over distributed networks

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A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Afsaneh Asaei, Mohammadjavad Taghizadeh, Saeid Haghighatshoar

In this paper, we prove a new identity for the least-square solution of an over-determined set of linear equation

Ax=b

, where

A

is an

m\times n

full-rank matrix,

b

is a column-vector of dimension

m

, and

m

(the number of equations) is larger tha ...

2015

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Afsaneh Asaei, Mohammadjavad Taghizadeh, Saeid Haghighatshoar

In this paper, we prove a new identity for the least-square solution of an over-determined set of linear equation

Ax=b

, where

A

is an

m\times n

full-rank matrix,

b

is a column-vector of dimension

m

, and

m

(the number of equations) is larger tha ...

Idiap2015

Adaptive estimation algorithms over distributed networks

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The effect of overall stimulus configuration on crowding

A Functional Framework for Enhanced Ultrasound Imaging

Aesthetics – as a dimension of society and a component of spatial theory

Locating Faults on Untransposed, Meshed Transmission Networks Using a Limited Number of Synchrophasor Measurements

The recursive Hessian sketch for adaptive filtering

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Discrete least squares polynomial approximation with random evaluations − application to parametric and stochastic elliptic PDEs

From averaging to acceleration, there is only a step-size

Robust distributed detection over adaptive diffusion networks

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

A Functional Framework for Enhanced Ultrasound Imaging

The effect of overall stimulus configuration on crowding

Aesthetics – as a dimension of society and a component of spatial theory

Locating Faults on Untransposed, Meshed Transmission Networks Using a Limited Number of Synchrophasor Measurements

The recursive Hessian sketch for adaptive filtering

Discrete least squares polynomial approximation with random evaluations − application to parametric and stochastic elliptic PDEs

Robust distributed detection over adaptive diffusion networks

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

From averaging to acceleration, there is only a step-size