Abstract
A new concept of reduction of non-stationary noise affecting audio signals transmitted in telecommunication channels is proposed. This concept exploits some features of the human auditory system as well as some methods originated from soft computing domain; i.e. rough set-based reasoning and neural processing. The foundations of the engineered method and a description of applied decision algorithms are presented. A number of experiments have been prepared; and some of them have already been carried out. A brief discussion of these experiments’ results and some conclusions are also included.
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© 1999 Springer-Verlag Berlin Heidelberg
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Krolikowski, R., Czyzewski, A. (1999). Noise Reduction in Telecommunication Channels Using Rough Sets and Neural Networks. In: Zhong, N., Skowron, A., Ohsuga, S. (eds) New Directions in Rough Sets, Data Mining, and Granular-Soft Computing. RSFDGrC 1999. Lecture Notes in Computer Science(), vol 1711. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-48061-7_14
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DOI: https://doi.org/10.1007/978-3-540-48061-7_14
Publisher Name: Springer, Berlin, Heidelberg
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