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APLAS
2004
ACM
15 years 5 months ago
A MATLAB-Based Code Generator for Sparse Matrix Computations
Abstract. We present a matrix language compiler CMC which translates annotated MATLAB scripts into Fortran 90 programs. Distinguishing features of CMC include its applicability to ...
Hideyuki Kawabata, Mutsumi Suzuki, Toshiaki Kitamu...
CORR
2010
Springer
133views Education» more  CORR 2010»
14 years 12 months ago
Nonuniform Sparse Recovery with Gaussian Matrices
Compressive sensing predicts that sufficiently sparse vectors can be recovered from highly incomplete information. Efficient recovery methods such as 1-minimization find the sparse...
Ulas Ayaz, Holger Rauhut
CORR
2010
Springer
228views Education» more  CORR 2010»
14 years 10 months ago
Sparse Inverse Covariance Selection via Alternating Linearization Methods
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
Katya Scheinberg, Shiqian Ma, Donald Goldfarb
IGARSS
2009
14 years 9 months ago
A Novel STAP Algorithm using Sparse Recovery Technique
A novel STAP algorithm based on sparse recovery technique, called CS-STAP, were presented. Instead of using conventional maximum likelihood estimation of covariance matrix, our met...
Ke Sun, Hao Zhang, Gang Li, Huadong Meng, Xiqin Wa...
INTERSPEECH
2010
14 years 6 months ago
Reducing musical noise in blind source separation by time-domain sparse filters and split bregman method
Musical noise often arises in the outputs of time-frequency binary mask based blind source separation approaches. Postprocessing is desired to enhance the separation quality. An e...
Wenye Ma, Meng Yu, Jack Xin, Stanley Osher