A granular analysis method in signal processing

  • Authors:

  • Lunwen Wang;Ying Tan;Ling Zhang

  • Affiliations:

  • 702 Research Division of Electronic Engineering Institute, Hefei;Chinese University of Hong Kong, Shatin, N.T., Hong Kong;Institute of Artificial intelligence, Anhui University, Hefei, China

  • Venue:
  • ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
  • Year:
  • 2005

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Abstract

This paper presents multiple granular descriptions of a signal character and the significance of different granular analyses in signal processing. After given the concepts of granularity, we discuss the relation of different granularity, define the concepts of coarse and fine granularity and propose a granular analysis method (GAM) with which automatically choosing the suitable granularity to analyze a signal. The experimental results of extracting fine characters of a 2FSK signal show the efficiency of the method.