@inproceedings{SisLab3335,
       booktitle = {22th European Signal Processing Conference (EUSIPCO)},
           month = {September},
           title = {Generalized MNS Method for Parallel Minor and Principal Subspace Analysis},
          author = {Linh Trung Nguyen and Viet Dung Nguyen and Karim Abed-Meraim and Rodolphe Weber},
            year = {2014},
             url = {https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3335/},
        abstract = {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 {\ensuremath{>}} 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.}
}