Publication date
January 2014
DOIAbstract
This is the author's version of an article that has been published in this journal. Changes were made to this version by the publisher prior to publication. The final version of record is availabl
This is the author's version of an article that has been published in this journal. Changes were made to this version by the publisher prior to publication. The final version of record is availabl
In this paper, we revisit the distributed total least squares (D-TLS) algorithm, which operates in a...
In this paper we consider the issue of distributed adaptive estimation over sensor networks. To deal...
A distributed estimation algorithm for sensor networks is proposed. A noisy time-varying signal is j...
We consider Total Least Squares (TLS) estimation in a network in which each node has access to a sub...
International audienceThis note defines the problem of least-squares distributed estimation from rel...
We propose a new distributed algorithm to solve the total least-squares (TLS) problem when data are ...
In view of the recent proliferation of low-cost mass-market receivers, the number of network receive...
Total least squares (TLS) estimation is a popular solution technique for overdetermined systems of l...
In this paper we study a distributed weighted least-squares estimation problem for a large-scale sys...
We formulate and study distributed estimation algorithms based on diffusion protocols to implement c...
AbstractIn this paper we study a distributed weighted least-squares estimation problem for a large-s...
. We consider the estimation of error distributions in least squares identification of distributed p...
this paper, please contact the author for details: raf@ldhpux.immt.pwr.pl 1 INTRODUCTIO
This paper proposes a randomized incremental algorithm to distributedly compute the least square (LS...
We study the problem of distributed estimation over adaptive networks where a collection of nodes ar...
In this paper, we revisit the distributed total least squares (D-TLS) algorithm, which operates in a...
In this paper we consider the issue of distributed adaptive estimation over sensor networks. To deal...
A distributed estimation algorithm for sensor networks is proposed. A noisy time-varying signal is j...
We consider Total Least Squares (TLS) estimation in a network in which each node has access to a sub...
International audienceThis note defines the problem of least-squares distributed estimation from rel...
We propose a new distributed algorithm to solve the total least-squares (TLS) problem when data are ...
In view of the recent proliferation of low-cost mass-market receivers, the number of network receive...
Total least squares (TLS) estimation is a popular solution technique for overdetermined systems of l...
In this paper we study a distributed weighted least-squares estimation problem for a large-scale sys...
We formulate and study distributed estimation algorithms based on diffusion protocols to implement c...
AbstractIn this paper we study a distributed weighted least-squares estimation problem for a large-s...
. We consider the estimation of error distributions in least squares identification of distributed p...
this paper, please contact the author for details: raf@ldhpux.immt.pwr.pl 1 INTRODUCTIO
This paper proposes a randomized incremental algorithm to distributedly compute the least square (LS...
We study the problem of distributed estimation over adaptive networks where a collection of nodes ar...
In this paper, we revisit the distributed total least squares (D-TLS) algorithm, which operates in a...
In this paper we consider the issue of distributed adaptive estimation over sensor networks. To deal...
A distributed estimation algorithm for sensor networks is proposed. A noisy time-varying signal is j...
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