TY  - CONF
ID  - SisLab3335
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3335/
A1  - Nguyen, Linh Trung
A1  - Nguyen, Viet Dung
A1  - Abed-Meraim, Karim
A1  - Weber, Rodolphe
Y1  - 2014/09/11/
N2  - This paper introduces a generalized minimum noise subspace method for the fast estimation of the minor or principal subspaces for large dimensional multi-sensor systems. In particular, the proposed method allows parallel computation of the desired subspace when K > 1 computational units (DSPs) are available in a parallel architecture. The overall numerical cost is approximately reduced by a factor of K2 while preserving the estimation accuracy close to optimality. Different algorithm implementations are considered and their performance is assessed through numerical simulation.
TI  - Generalized MNS Method for Parallel Minor and Principal Subspace Analysis
M2  - Lisbon, Portugal
AV  - none
T2  - 22th European Signal Processing Conference (EUSIPCO)
ER  -