Abstract—Compressive sensing enables the reconstruction of high-resolution signals from under-sampled data. While com-pressive methods simplify data acquisition, they require the solution of difficult recovery problems to make use of the resulting measurements. This article presents a new sensing framework that combines the advantages of both conventional and compressive sensing. Using the proposed STOne transform, measurements can be reconstructed instantly at Nyquist rates at any power-of-two resolution. The same data can then be “enhanced ” to higher resolutions using compressive methods that leverage sparsity to “beat ” the Nyquist limit. The availability of a fast direct reconstruction enables compressive measurements to be processed o...
Compressed sensing is an emerging approach for signal acquisition wherein theory has shown that a sm...
The compressive sensing theory indicates that robust reconstruction of signals can be obtained from ...
Abstract. Spatial multiplexing cameras (SMCs) acquire a (typically static) scene through a series of...
Abstract. Compressive sensing (CS) is an innovative technology, allowing us to capture signals with ...
Includes bibliographical references (pages 40-42).Compressed Sensing (CS) is a recently developed to...
Compressive imaging allows one to sample an image below the Nyquist rate yet still accurately recove...
Compressive sensing [1, 2] is a novel technique that has been gaining increasing importance in the l...
The design of conventional sensors is based primarily on the Shannon?Nyquist sampling theorem, which...
The Shannon/Nyquist sampling theorem tells us that in order to not lose information when uni-formly ...
Our temporally compressive imaging system reconstructs a high-speed image sequence from a single, co...
This paper presents the design of a system, which can improve the reconstruction of Compressive Sens...
Conventional approach in acquisition and reconstruction of images from frequency domain strictly fol...
We present a compressive sensing video acquisition scheme that relies on the sparsity properties of ...
In this work, we study a complete framework of Video Compressive Sensing (VCS), from capturing a seq...
The compressive sensing (CS) theory indicates that robust reconstruction of signals can be obtained ...
Compressed sensing is an emerging approach for signal acquisition wherein theory has shown that a sm...
The compressive sensing theory indicates that robust reconstruction of signals can be obtained from ...
Abstract. Spatial multiplexing cameras (SMCs) acquire a (typically static) scene through a series of...
Abstract. Compressive sensing (CS) is an innovative technology, allowing us to capture signals with ...
Includes bibliographical references (pages 40-42).Compressed Sensing (CS) is a recently developed to...
Compressive imaging allows one to sample an image below the Nyquist rate yet still accurately recove...
Compressive sensing [1, 2] is a novel technique that has been gaining increasing importance in the l...
The design of conventional sensors is based primarily on the Shannon?Nyquist sampling theorem, which...
The Shannon/Nyquist sampling theorem tells us that in order to not lose information when uni-formly ...
Our temporally compressive imaging system reconstructs a high-speed image sequence from a single, co...
This paper presents the design of a system, which can improve the reconstruction of Compressive Sens...
Conventional approach in acquisition and reconstruction of images from frequency domain strictly fol...
We present a compressive sensing video acquisition scheme that relies on the sparsity properties of ...
In this work, we study a complete framework of Video Compressive Sensing (VCS), from capturing a seq...
The compressive sensing (CS) theory indicates that robust reconstruction of signals can be obtained ...
Compressed sensing is an emerging approach for signal acquisition wherein theory has shown that a sm...
The compressive sensing theory indicates that robust reconstruction of signals can be obtained from ...
Abstract. Spatial multiplexing cameras (SMCs) acquire a (typically static) scene through a series of...