Robust Eigenvector Algorithms for Blind Deconvolution of MIMO Linear Systems |
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| Authors: | Mitsuru Kawamoto Kiyotaka Kohno Yujiro Inouye |
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| Affiliation: | (1) National Institute of Advanced Industrial Science and Technology (AIST), Central 2, 1-1-1 Umezono, Tsukuba, Ibaraki 305-8568, Japan;(2) Laboratory for Biologically Integrative Sensors, Bio-Mimetic Control Research Center, RIKEN, 2271-130, Anagahora, Shimoshidami, Moriyama-ku, Nagoya, 463-0003, Japan;(3) Department of Electronic and Control Systems Engineering, Shimane University, 1060 Nishikawatsu, Matsue, Shimane 690-8504, Japan;(4) Laboratory for Advanced Brain Signal Processing, Brain Science Institute, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan |
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| Abstract: | This paper presents eigenvector algorithms (EVAs) for blind deconvolution of multiple-input, multiple-output infinite impulse
response channels (convolutive mixtures). An attractive feature of one of the proposed EVAs is that it is insensitive to Gaussian
noises which are added to the outputs of the channels; hence, the proposed EVA is referred to as a "robust" eigenvector algorithm.
Simulation results show the validity of the proposed EVAs. |
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