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108
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CORR
2010
Springer
95views Education» more  CORR 2010»
15 years 3 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
112
Voted
CORR
2010
Springer
149views Education» more  CORR 2010»
15 years 3 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
153
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Mixed-signal parallel compressed sensing and reception for cognitive radio
A parallel structure to do spectrum sensing in Cognitive Radio (CR) at sub-Nyquist rate is proposed. The structure is based on Compressed Sensing (CS) that exploits the sparsity o...
Zhuizhuan Yu, Sebastian Hoyos, Brian M. Sadler
149
Voted
BIBM
2008
IEEE
159views Bioinformatics» more  BIBM 2008»
15 years 10 months ago
Probe Design for Compressive Sensing DNA Microarrays
Abstract—Compressive Sensing Microarrays (CSM) are DNAbased sensors that operate using group testing and compressive sensing (CS) principles. In contrast to conventional DNA micr...
Wei Dai, Olgica Milenkovic, Mona A. Sheikh, Richar...
112
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Compressed sensing with sequential observations
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of measurements. The results in the literature have focuse...
Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Wills...