Tracking signal subspace invariance for blind separation and classification of nonorthogonal sources in correlated noise

DOI10.1155/2007/37485zbMath1168.94432OpenAlexW2007696956MaRDI QIDQ838899

Karim G. Oweiss, David J. Anderson

Publication date: 1 September 2009

Published in: EURASIP Journal on Advances in Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2007/37485

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Uses Software

• svdpack

Cites Work

• Modeling by shortest data description
• Factoring wavelet transforms into lifting steps
• Wavelets and filter banks: theory and design
• A review of methods for spike sorting: the detection and classification of neural action potentials
• De-noising by soft-thresholding
• Entropy-based algorithms for best basis selection
• MIMO channel blind identification in the presence of spatially correlated noise
• Wavelet footprints: theory, algorithms, and applications
• On the Distribution of the Latent Vectors for Principal Component Analysis
• On the Distribution of the Largest Latent Root of the Covariance Matrix

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