Signal Classification through Multifractal Analysis and Complex Domain Neural Networks

Canadian Conference on Electrical and Computer Engineering

Volumn 3, Issue , 2003, Pages 2067-2070

  Cheung, V ^a   Cannons, K ^a   Kinsner, W ^a   Pear, J ^a  

^a UNIVERSITY OF MANITOBA   (Canada)

Author keywords

Classification; Complex domain neural networks; Multifractal analysis; Probabilistic neural networks

Indexed keywords

ALGORITHMS; FEATURE EXTRACTION; FRACTALS; NONLINEAR SYSTEMS;

MULTIFRACTAL ANALYSIS;

NEURAL NETWORKS;

EID: 0141649635     PISSN: 08407789     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. [ChCa0S] V. Cheung and K. Cannons, Signal Classification through Multifractal Analysis and Neural Networks. BSc Thesis. Dept. of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, 106 pp., 2003.
2. [Kins94] W. Kinsner, "Batch and real-time computation of a fractal dimension based on variance of a time series," Technical Report, DEL94-6; UofM; June 15, 1994, (v+17) 22 pp.
3. [Koho84] T. Kohonen, Self-Organization and Associative Memory. Berlin: Springer-Verlag, 1984.
4. [Mast94] T. Masters, Signal and Image Processing with Neural Networks: A C++ Sourcebook. New York, NY: John Wiley " Sons, Inc., 1994.
5. [Spec88] D.F. Specht, "Probabilistic neural networks for classification, mapping, or associative memory", IEEE International Conference on Neural Networks, vol. 1, pp. 525-532, July 1988.