Sensor networks have emerged as an important tool for the monitoring of physical fields of interest. In this setting, sensors obtain spatiotemporal samples of the field which can then be fused so as to infer certain properties of the field. This paper considers advection-diffusion fields for which the advection-diffusion equation is a well-known model. Specifically, we consider the problem of estimating in both space and time, the sources of the resulting field and demonstrate that this source identification problem can be formulated as a system governed by a weighted sum of complex exponentials. This system under certain conditions can be solved in order to recover the unknown source parameters. Finally, we validate our findings through nu...
International audienceWe address the nonlinear inverse source problem of identifying multiple unknow...
International audienceThis paper addresses the nonlinear inverse source problem of identifying multi...
Partial differential equations are central to describing many physical phenomena. In many applicatio...
In this paper we consider a diffusion field induced by multi-ple point sources and address the probl...
In this paper we consider a diffusion field induced by multi-ple point sources and address the probl...
Consider a diffusion field induced by a finite number of lo-calized and instantaneous sources. In th...
We consider the problem of reconstructing a diffusion field, such as temperature, from samples colle...
We consider diffusion fields induced by a finite number of spatially localized sources and address t...
Sensor networks are becoming increasingly prevalent for monitoring physical phenomena of interest. F...
Abstract—We consider the problem of reconstructing a dif-fusion field, such as temperature, from sam...
Sensor networks are becoming increasingly prevalent for monitoring physical phenomena of interest. F...
In this contribution, we implement a fully distributed diffusion field estimation algorithm based on...
We consider the spatiotemporal sampling of diffusion fields induced by M point sources, and study th...
Abstract. We consider a network of sensors that measure the intensities of a complex plume composed ...
International audienceThis paper deals with the identification of a point source (localization of it...
International audienceWe address the nonlinear inverse source problem of identifying multiple unknow...
International audienceThis paper addresses the nonlinear inverse source problem of identifying multi...
Partial differential equations are central to describing many physical phenomena. In many applicatio...
In this paper we consider a diffusion field induced by multi-ple point sources and address the probl...
In this paper we consider a diffusion field induced by multi-ple point sources and address the probl...
Consider a diffusion field induced by a finite number of lo-calized and instantaneous sources. In th...
We consider the problem of reconstructing a diffusion field, such as temperature, from samples colle...
We consider diffusion fields induced by a finite number of spatially localized sources and address t...
Sensor networks are becoming increasingly prevalent for monitoring physical phenomena of interest. F...
Abstract—We consider the problem of reconstructing a dif-fusion field, such as temperature, from sam...
Sensor networks are becoming increasingly prevalent for monitoring physical phenomena of interest. F...
In this contribution, we implement a fully distributed diffusion field estimation algorithm based on...
We consider the spatiotemporal sampling of diffusion fields induced by M point sources, and study th...
Abstract. We consider a network of sensors that measure the intensities of a complex plume composed ...
International audienceThis paper deals with the identification of a point source (localization of it...
International audienceWe address the nonlinear inverse source problem of identifying multiple unknow...
International audienceThis paper addresses the nonlinear inverse source problem of identifying multi...
Partial differential equations are central to describing many physical phenomena. In many applicatio...