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ICASSP
2011
IEEE
12 years 11 months 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
JMLR
2012
11 years 10 months ago
Sparse Higher-Order Principal Components Analysis
Traditional tensor decompositions such as the CANDECOMP / PARAFAC (CP) and Tucker decompositions yield higher-order principal components that have been used to understand tensor d...
Genevera Allen
CISS
2008
IEEE
14 years 2 months ago
1-Bit compressive sensing
Abstract—Compressive sensing is a new signal acquisition technology with the potential to reduce the number of measurements required to acquire signals that are sparse or compres...
Petros Boufounos, Richard G. Baraniuk
CORR
2011
Springer
214views Education» more  CORR 2011»
12 years 11 months ago
K-Median Clustering, Model-Based Compressive Sensing, and Sparse Recovery for Earth Mover Distance
We initiate the study of sparse recovery problems under the Earth-Mover Distance (EMD). Specifically, we design a distribution over m × n matrices A such that for any x, given A...
Piotr Indyk, Eric Price
ICASSP
2011
IEEE
12 years 11 months ago
A hybrid compressed sensing algorithm for sparse channel estimation in MIMO OFDM systems
Due to multipath delay spread and relatively high sampling rate in OFDM systems, the channel estimation is formulated as a sparse recovery problem, where a hybrid compressed sensi...
Chenhao Qi, Lenan Wu