Sciweavers

420 search results - page 12 / 84
» Compressive sensing
Sort
View
ICASSP
2011
IEEE
13 years 6 days ago
Guaranteed error correction based on Fourier Compressive Sensing and Projective Geometry
The sparse error correction is intimately related to Compressive Sensing. Exploiting this connection, the paper proposes an error correction scheme pivoted on partial Fourier matr...
B. S. Adiga, M. Girish Chandra, Shreeniwas Sapre
ISBI
2007
IEEE
14 years 2 months ago
Generalized K-T Blast and K-T Sense Using Focuss
According to the recent theory of compressed sensing, accurate reconstruction is possible even from data samples dramatically smaller than Nyquist sampling limit as long as the un...
Hong Jung, Jaeheung Yoo, Jong Chul Ye
CORR
2010
Springer
95views Education» more  CORR 2010»
13 years 8 months ago
Statistical Compressive Sensing of Gaussian Mixture Models
A new framework of compressive sensing (CS), namely statistical compressive sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical dist...
Guoshen Yu, Guillermo Sapiro
CORR
2010
Springer
149views Education» more  CORR 2010»
13 years 8 months ago
A probabilistic and RIPless theory of compressed sensing
This paper introduces a simple and very general theory of compressive sensing. In this theory, the sensing mechanism simply selects sensing vectors independently at random from a ...
Emmanuel J. Candès, Yaniv Plan
ICIP
2009
IEEE
13 years 6 months ago
Randomness-in-Structured Ensembles for compressed sensing of images
Leading compressed sensing (CS) methods require m = O (k log(n)) compressive samples to perfectly reconstruct a k-sparse signal x of size n using random projection matrices (e.g., ...
Abdolreza A. Moghadam, Hayder Radha