WAVELET THEORY APPROACH TO PATTERN RECOGNITION (2ND EDITION)
暫譯: 小波理論在模式識別中的應用（第二版）

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