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Series in Machine Perception and Artificial Intelligence - Vol. 36
WAVELET THEORY AND ITS APPLICATION TO PATTERN RECOGNITION
by Y Y Tang, J Liu (Hong Kong Baptist University), L H Yang (Zhongshan University) & H Ma (Sichuan University)
This is not a purely mathematical book. It presents the basic principle of wavelet theory to electrical and electronic engineers, computer scientists, and students, as well as the ideas of how wavelets can be applied to pattern recognition. It also contains many novel research results from the authors' research team.
Contents:
- Continuous Wavelet Transforms
- Multiresolution Analysis and Wavelet
Bases
- Some Typical Wavelet Bases
- Edge Detection by Wavelet Transform
- 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
Readership: Computer science graduates and researchers interested in wavelet
theory and its application.
| 360pp |
Pub. date: Mar 2000 |
This is a Print On Demand title. We no longer stock the original but will recreate a copy for you. While all efforts are made to ensure that quality is the same as the original, there may be differences in some areas of the design and packaging.
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