Intelligent signal processing applied to recognition and classification of one and multidimensional signals

  • Authors:
  • Wasfy B. Mikhael;Moataz M. Abdelwahab;Manal M. Abdelwaha

  • Affiliations:
  • School of Electrical Engineering and Computer Science, College of Engineering and Computer Science, University of Central Florida, Orlando, FL;School of Electrical Engineering and Computer Science, College of Engineering and Computer Science, University of Central Florida, Orlando, FL;School of Electrical Engineering and Computer Science, College of Engineering and Computer Science, University of Central Florida, Orlando, FL

  • Venue:
  • ICC'06 Proceedings of the 10th WSEAS international conference on Circuits
  • Year:
  • 2006

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Abstract

Recently, due to emerging critical applications such as biomedical, and security applications, the area of intelligent signal processing has been receiving considerable attention. In this contribution, we present an intelligent signal processing system applied to signal recognition and classification. The system employs different structures, multicriteria and multitransform. In addition, principal component analysis in the transform domain is developed which result in further improvement in the recognition accuracy and dimensionality reduction. Experimental results are given which confirm the excellent properties of the proposed approaches.