A fuzzy clustering-based binary threshold bispectrum estimation approach

W.Y. Liu; Jian Han

doi:10.1007/s00521-012-1050-y

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A fuzzy clustering-based binary threshold bispectrum estimation approach

W.Y. Liu Jian Han

Year: 2012 Journal: Neural Computing and Applications Vol: 21 (S1)Pages: 385-392 Publisher: Springer Science+Business Media

DOI: 10.1007/s00521-012-1050-y

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Keywords:

Bispectrum Pattern recognition (psychology) Artificial intelligence Cluster analysis Computer science Fuzzy logic Feature (linguistics) Noise (video) Binary number Bearing (navigation) Fuzzy clustering Fault (geology) Feature extraction Mathematics Image (mathematics) Spectral density

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Blind Source Separation Techniques

Physical Sciences → Computer Science → Signal Processing

Advanced Adaptive Filtering Techniques

Physical Sciences → Engineering → Computational Mechanics

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

A fuzzy clustering-based binary threshold bispectrum estimation approach

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