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ICASSP
2009
IEEE
14 years 5 months ago
Analyzing Least Squares and Kalman Filtered Compressed Sensing
In recent work, we studied the problem of causally reconstructing time sequences of spatially sparse signals, with unknown and slow time-varying sparsity patterns, from a limited ...
Namrata Vaswani
ISCIS
2003
Springer
14 years 4 months ago
An Alternative Compressed Storage Format for Sparse Matrices
The handling of the sparse matrix vector product(SMVP) is a common kernel in many scientific applications. This kernel is an irregular problem, which has led to the development of...
Anand Ekambaram, Eurípides Montagne
EUROSIM
1996
14 years 2 days ago
Parallel algorithms for MPEG video compression with PVM
This paper presents parallel algorithms for MPEG video compression by using the PVM library. Because of the huge amount of computation, a sequential software encoder is slow at th...
Sándor Bozoki, S. J. P. Westen, Reginald L....
CISS
2011
IEEE
13 years 2 months ago
Noncoherent compressive sensing with application to distributed radar
—We consider a multi-static radar scenario with spatially dislocated receivers that can individually extract delay information only. Furthermore, we assume that the receivers are...
Christian R. Berger, Josee M. F. Moura
ICASSP
2011
IEEE
13 years 2 months ago
Combined compressed sensing and parallel mri compared for uniform and random cartesian undersampling of K-space
Both compressed sensing (CS) and parallel imaging effectively reconstruct magnetic resonance images from undersampled data. Combining both methods enables imaging with greater und...
Daniel S. Weller, Jonathan R. Polimeni, Leo Grady,...