Sciweavers

Share
5 search results - page 1 / 1
» CMOS compressed imaging by Random Convolution
Sort
View
ICASSP
2009
IEEE
10 years 5 months ago
CMOS compressed imaging by Random Convolution
We present a CMOS imager with built-in capability to perform Compressed Sensing coding by Random Convolution. It is achieved by a shift register set in a pseudo-random conīŦgurat...
Laurent Jacques, Pierre Vandergheynst, Alexandre B...
ICASSP
2011
IEEE
9 years 2 months ago
Snapshot spectral imaging via compressive random convolution
Spectral imaging is of interest in many applications, including wide-area airborne surveillance, remote sensing, and tissue spectroscopy. Coded aperture spectral snapshot imaging ...
Yao Wu, Gonzalo R. Arce
CORR
2016
Springer
118views Education» more  CORR 2016»
4 years 6 months ago
ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Random Measurements
The goal of this paper is to present a non-iterative and more importantly an extremely fast algorithm to reconstruct images from compressively sensed (CS) random measurements. To ...
Kuldeep Kulkarni, Suhas Lohit, Pavan K. Turaga, Ro...
SPEECH
2016
4 years 6 months ago
Computational methods for underdetermined convolutive speech localization and separation via model-based sparse component analys
In this paper, the problem of speech source localization and separation from recordings of convolutive underdetermined mixtures is studied. The problem is cast as recovering the s...
Afsaneh Asaei, Hervé Bourlard, Mohammad Jav...
ICIP
2006
IEEE
11 years 1 days ago
An Architecture for Compressive Imaging
Compressive Sensing is an emerging field based on the revelation that a small group of non-adaptive linear projections of a compressible signal contains enough information for rec...
Michael B. Wakin, Jason N. Laska, Marco F. Duarte,...
books