Abstract
Source separation (SS) algorithm is an attractive approach for designing smart sensor array, able to increase spatial selectivity and to cancel spurious sources. The source number being unknown and able to vary, a pre-processing algorithm is developped in this paper for providing estimation of the source number before source separation. On-line source separation is then achieved in the above time variant context.
Ch. Jutten is professor at ISTG of Univ. Joseph Fourier of Grenoble. This project is partly supported by ELESA in cooperation with A. Chovet and A. lonescu of LPCS.
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© 1997 Springer-Verlag Berlin Heidelberg
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Paraschiv-Ionescu, A., Jutten, C., Bouvier, G. (1997). Neural network based processing for smart sensors arrays. In: Gerstner, W., Germond, A., Hasler, M., Nicoud, JD. (eds) Artificial Neural Networks — ICANN'97. ICANN 1997. Lecture Notes in Computer Science, vol 1327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020214
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DOI: https://doi.org/10.1007/BFb0020214
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