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Browse Conference Publications > Fuzzy Systems, 2004. Proceedi ... Help

Adaptive noise cancellation using type-2 fuzzy logic and neural networks

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2 Author(s)
Castillo, Oscar ; Dept. of Comput. Sci., Tijuana Inst. of Technol., Mexico ; Melin, Patricia

We describe in this paper the use of type-2 fuzzy logic for achieving adaptive noise cancellation. The objective of adaptive noise cancellation is to filter out an interference component by identifying a model between a measurable noise source and the corresponding un-measurable interference. We propose the use of type-2 fuzzy logic to find this model. The use of type-2 fuzzy logic is justified due to the high level of uncertainty of the process, which makes difficult to find appropriate parameter values for the membership functions.

Published in:
Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on  (Volume:2 )

Date of Conference: 25-29 July 2004

Page(s):
1093 - 1098 vol.2
ISSN :
1098-7584
Print ISBN:
0-7803-8353-2
INSPEC Accession Number:
8262649
Digital Object Identifier :
10.1109/FUZZY.2004.1375563
Product Type:
Conference Publications

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