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93
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KDD
2004
ACM
118views Data Mining» more  KDD 2004»
16 years 26 days ago
Parallel computation of high dimensional robust correlation and covariance matrices
The computation of covariance and correlation matrices are critical to many data mining applications and processes. Unfortunately the classical covariance and correlation matrices...
James Chilson, Raymond T. Ng, Alan Wagner, Ruben H...
98
Voted
SIGPRO
2008
106views more  SIGPRO 2008»
15 years 11 days ago
Propagator-based methods for recursive subspace model identification
The problem of the online identification of multi-input multi-output (MIMO) state-space models in the framework of discrete-time subspace methods is considered in this paper. Seve...
Guillaume Mercère, Laurent Bako, Sté...
100
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Generalized geometric mean decomposition and DFE MMSE transceiver design for cyclic prefix systems
This paper considers the decomposition of a complex matrix as the product of several sets of semi-unitary matrices and upper triangular matrices in iterative manner. The inner mos...
Chih-Hao Liu, Palghat P. Vaidyanathan
128
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Maximum likelihood ICA of quaternion Gaussian vectors
This work considers the independent component analysis (ICA) of quaternion random vectors. In particular, we focus on the Gaussian case, and therefore the ICA problem is solved by...
Javier Vía, Daniel P. Palomar, Luis Vielva,...
88
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Eigenspace sparsity for compression and denoising
Sparsity in the eigenspace of signal covariance matrices is exploited in this paper for compression and denoising. Dimensionality reduction (DR) and quantization modules present i...
Ioannis D. Schizas, Georgios B. Giannakis