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Wavelet Theory and Its Application to Pattern Recognition (Series in Machine Perception and Artificial Intelligence)

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This 2nd edition is an update of the book "Wavelet Theory and Its Application to Pattern Recognition" published in 2000. Three new chapters, which are research results conducted during 2001-2008, will be added. The book consists of two parts - the first contains the basic theory of wavelet analysis and the second includes applications of wavelet theory to pattern recognition. The new book provides a bibliography of 170 references including the current state-of-the-art theory and applications of wavelet analysis to pattern recognition.

  • Continuous Wavelet Transforms
  • Multiresolution Analysis and Wavelet Bases
  • Some Typical Wavelet Bases
  • Step-Edge Detection by Wavelet Transform
  • Characterization of Dirac-Edges with Quadratic Spline Wavelet Transform
  • Construction of New Wavelet Function and Application to Curve Analysis
  • Skeletonization of Ribbon-like Shapes with New Wavelet Function
  • Feature Extraction by Wavelet Sub-Patterns and Divider Dimensions
  • Document Analysis by Reference Line Detection with 2-D Wavelet Transform
  • Chinese Character Processing with B-Spline Wavelet Transform
  • Classifier Design Based on Orthogonal Wavelet Series
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