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We describe in this chapter the application 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. In this chapter, 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.
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© 2007 Springer-Verlag Berlin Heidelberg
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Castillo, O., Melin, P. (2007). 17 Adaptive Noise Cancellation Using Type-2 Fuzzy Logic and Neural Networks. In: Type-2 Fuzzy Logic: Theory and Applications. Studies in Fuzziness and Soft Computing, vol 223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76284-3_17
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DOI: https://doi.org/10.1007/978-3-540-76284-3_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76283-6
Online ISBN: 978-3-540-76284-3
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