Abstract
This paper deals with a blind deconvolution (DB) problem for multiple-input multiple-output infinite impulse response (MIMO-IIR) systems. To solve this problem, we propose an eigenvector algorithm (EVA). In the proposed EVA, two kinds of EVAs are merged so as to give a good performance: One is an EVA and the other is a Robust EVA (REVA) which works with as little sensitive to Gaussian noise as possible. Owing to this combination, two drawbacks of the conventional EVAs can be overcome. Simulation results show the validity of the proposed EVA.
Parts of the results in this paper were presented at IEEE Int. Conf. on Acoustics, Speech and Signal Processing, April 2007.
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Kawamoto, M., Inouye, Y., Kohno, K. (2008). Blind Deconvolution of MIMO-IIR Systems: A Two-Stage EVA. In: Ishikawa, M., Doya, K., Miyamoto, H., Yamakawa, T. (eds) Neural Information Processing. ICONIP 2007. Lecture Notes in Computer Science, vol 4985. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69162-4_52
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DOI: https://doi.org/10.1007/978-3-540-69162-4_52
Publisher Name: Springer, Berlin, Heidelberg
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