Geometrical interpretation of the PCA subspace approach for overdetermined blind source separation

DOI10.1155/ASP/2006/71632zbMath1122.94316WikidataQ59212774 ScholiaQ59212774MaRDI QIDQ871558

N. E. Zubov

Publication date: 19 March 2007

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

Mathematics Subject Classification ID

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

Related Items (2)

Exploiting all combinations of microphone sensors in overdetermined frequency domain blind separation of speech signals ⋮ Centered and non-centered principal component analyses in the frequency domain

Cites Work

• Topographic Independent Component Analysis

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