Inverse scattering refers the retrieval of the unknown constitutive parameters from measured scattered wave fields, and has many applications such as ultrasound imaging, optics, T-ray imaging, radar, and etc. Two distinct imaging strategies have been commonly used: narrow band inverse scattering approaches using a large number of transmitters and receivers, or wideband imaging approaches with smaller number of transmitters and receivers. In some biomedical imaging applications, the limited accessibility of scattered fields using externally located antenna arrays usually prefers the wideband imaging approaches. The main contribution of this paper is, therefore, to analyze the wideband inverse scattering problem from compressive sensing persp...
In this letter, we study the subwavelength imaging of sparse broadband sources inside a disordered m...
Over the last years, various new non-invasive methodologies have been proposed for medical imaging. ...
Wideband microwave imaging is of interest wherever optical opaque scenarios need to be analyzed, as ...
It is well-known that in a canonical inverse scattering problem there is only a limited amount of in...
International audienceThe application of the Compressive Sensing (CS) paradigm to the solution of th...
Inverse scattering from discrete targets with the single-input-multiple-output (SIMO), mult...
Abstract. Inverse scattering from discrete targets with the single-input-multiple-output (SIMO), mul...
Compressive sensing is a new field in signal processing and applied mathematics. It allows one to si...
Abstract. Inverse scattering methods capable of compressive imaging are proposed and ana-lyzed. The ...
International audienceThe paradigm of Compressive Sensing (CS) has emerged in the last few years as ...
International audienceCompressive sensing (CS) is currently one the most active research fields in i...
International audienceImaging algorithms able to address the intrinsic challenges of inverse problem...
We develop an ultrawideband (UWB) inverse scattering technique for reconstructing continuous random ...
International audienceOne of the fundamental theorem in information theory is the so-called sampling...
An innovative inverse scattering (IS) method is proposed for the quantitative imaging of pixel-spars...
In this letter, we study the subwavelength imaging of sparse broadband sources inside a disordered m...
Over the last years, various new non-invasive methodologies have been proposed for medical imaging. ...
Wideband microwave imaging is of interest wherever optical opaque scenarios need to be analyzed, as ...
It is well-known that in a canonical inverse scattering problem there is only a limited amount of in...
International audienceThe application of the Compressive Sensing (CS) paradigm to the solution of th...
Inverse scattering from discrete targets with the single-input-multiple-output (SIMO), mult...
Abstract. Inverse scattering from discrete targets with the single-input-multiple-output (SIMO), mul...
Compressive sensing is a new field in signal processing and applied mathematics. It allows one to si...
Abstract. Inverse scattering methods capable of compressive imaging are proposed and ana-lyzed. The ...
International audienceThe paradigm of Compressive Sensing (CS) has emerged in the last few years as ...
International audienceCompressive sensing (CS) is currently one the most active research fields in i...
International audienceImaging algorithms able to address the intrinsic challenges of inverse problem...
We develop an ultrawideband (UWB) inverse scattering technique for reconstructing continuous random ...
International audienceOne of the fundamental theorem in information theory is the so-called sampling...
An innovative inverse scattering (IS) method is proposed for the quantitative imaging of pixel-spars...
In this letter, we study the subwavelength imaging of sparse broadband sources inside a disordered m...
Over the last years, various new non-invasive methodologies have been proposed for medical imaging. ...
Wideband microwave imaging is of interest wherever optical opaque scenarios need to be analyzed, as ...