International audienceIn this paper, we analyse and solve a source separation problem based on a mixing model that is nonlinear and non-invertible at the space of mixtures. The model is relevant considering it may represent the data obtained from ion-selective electrode arrays. We apply a new approach for solving the problems of local stability of the recurrent network previously used in the literature, which allows for a wider range of source concentration. In order to achieve this, we utilize a second-order recurrent network which can be shown to be locally stable for all solutions. Using this new network and the priors that chemical sources are continuous and smooth, our proposal performs better than the previous approach
While most reported blind source separation methods concern linear mixtures, we here address the non...
In this work, we deal with the problem of nonlinear blind source separation (BSS). We propose a new ...
A network structure and its learning algorithm have been proposed for blind source separation applie...
sem informaçãosem informaçãoIn this paper, we analyse and solve a source separation problem based on...
International audienceWhile most reported source separation methods concern linear mixtures, we here...
International audienceIn this paper, a novel approach for performing Blind Source Separation (BSS) i...
International audienceThe development of chemical sensor arrays based on Blind Source Separation (BS...
The development of chemical sensor arrays based on Blind Source Separation (BSS) provides a promisin...
Plenary invited talk without paper in the proceedingsInternational audienceThe problem of source sep...
International audienceIn this paper we propose a blind source separation method to process the data ...
Abstract—In this paper, we address the problem of separation of mutually independent sources in nonl...
International audienceIon-selective electrodes (ISE) offer a practical approach for estimating ionic...
The development of chemical sensor arrays based on Blind Source Separation (BSS) provides ...
Abstract While most reported source separation methods concern linear mixtures, we here address the ...
Although sources in general nonlinear mixturm arc not separable iising only statistical independenc...
While most reported blind source separation methods concern linear mixtures, we here address the non...
In this work, we deal with the problem of nonlinear blind source separation (BSS). We propose a new ...
A network structure and its learning algorithm have been proposed for blind source separation applie...
sem informaçãosem informaçãoIn this paper, we analyse and solve a source separation problem based on...
International audienceWhile most reported source separation methods concern linear mixtures, we here...
International audienceIn this paper, a novel approach for performing Blind Source Separation (BSS) i...
International audienceThe development of chemical sensor arrays based on Blind Source Separation (BS...
The development of chemical sensor arrays based on Blind Source Separation (BSS) provides a promisin...
Plenary invited talk without paper in the proceedingsInternational audienceThe problem of source sep...
International audienceIn this paper we propose a blind source separation method to process the data ...
Abstract—In this paper, we address the problem of separation of mutually independent sources in nonl...
International audienceIon-selective electrodes (ISE) offer a practical approach for estimating ionic...
The development of chemical sensor arrays based on Blind Source Separation (BSS) provides ...
Abstract While most reported source separation methods concern linear mixtures, we here address the ...
Although sources in general nonlinear mixturm arc not separable iising only statistical independenc...
While most reported blind source separation methods concern linear mixtures, we here address the non...
In this work, we deal with the problem of nonlinear blind source separation (BSS). We propose a new ...
A network structure and its learning algorithm have been proposed for blind source separation applie...