The potential of compressive sensing (CS) has spurred great interest in the research community and is a fast growing area of research. However, research translating CS theory into practical hardware and demonstrating clear and significant benefits with this hardware over current, conventional imaging techniques has been limited. This article helps researchers to find those niche applications where the CS approach provides substantial gain over conventional approaches by articulating lessons learned in finding one such application; sea skimming missile detection. As a proof of concept, it is demonstrated that a simplified CS missile detection architecture and algorithm provides comparable results to the conventional imaging approach but usin...
International audienceA review of the features, potentialities, and applications of Compressive Sens...
International audienceA review of the features, potentialities, and applications of Compressive Sens...
This thesis develops algorithms and applications for compressive sensing, a topic in signal processi...
International audienceCompressive sensing (CS) is currently one the most active research fields in i...
This paper aims at introducing the recent theory of compressive sensing to radar imaging systems in ...
International audienceCompressive sensing (CS) is currently one the most active research fields in i...
International audienceCompressive sensing (CS) is currently one the most active research fields in i...
In this paper we give a brief review of compressive sensing (CS) applied to radar. Though CS theory ...
In this paper we present some preliminary results on the application of Compressive Sensing (CS) to ...
International audienceThe paradigm of Compressive Sensing (CS) has emerged in the last few years as ...
International audienceThe paradigm of Compressive Sensing (CS) has emerged in the last few years as ...
International audienceThe paradigm of Compressive Sensing (CS) has emerged in the last few years as ...
Compressive sensing (CS) techniques offer a framework for the detection and allocation of sparse sig...
International audienceA review of the features, potentialities, and applications of Compressive Sens...
International audienceA review of the features, potentialities, and applications of Compressive Sens...
International audienceA review of the features, potentialities, and applications of Compressive Sens...
International audienceA review of the features, potentialities, and applications of Compressive Sens...
This thesis develops algorithms and applications for compressive sensing, a topic in signal processi...
International audienceCompressive sensing (CS) is currently one the most active research fields in i...
This paper aims at introducing the recent theory of compressive sensing to radar imaging systems in ...
International audienceCompressive sensing (CS) is currently one the most active research fields in i...
International audienceCompressive sensing (CS) is currently one the most active research fields in i...
In this paper we give a brief review of compressive sensing (CS) applied to radar. Though CS theory ...
In this paper we present some preliminary results on the application of Compressive Sensing (CS) to ...
International audienceThe paradigm of Compressive Sensing (CS) has emerged in the last few years as ...
International audienceThe paradigm of Compressive Sensing (CS) has emerged in the last few years as ...
International audienceThe paradigm of Compressive Sensing (CS) has emerged in the last few years as ...
Compressive sensing (CS) techniques offer a framework for the detection and allocation of sparse sig...
International audienceA review of the features, potentialities, and applications of Compressive Sens...
International audienceA review of the features, potentialities, and applications of Compressive Sens...
International audienceA review of the features, potentialities, and applications of Compressive Sens...
International audienceA review of the features, potentialities, and applications of Compressive Sens...
This thesis develops algorithms and applications for compressive sensing, a topic in signal processi...