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| 小波变换理论应用进展 | |
| 引用本文： | 郭彤颖,吴成东,曲道奎. 小波变换理论应用进展[J]. 信息与控制, 2004, 33(1): 67-071 |
| 作者姓名： | 郭彤颖 吴成东 曲道奎 |
| 作者单位： | 1. 中国科学院沈阳自动化研究所,辽宁,沈阳,110016;沈阳建筑工程学院,辽宁,沈阳,110168 2. 沈阳建筑工程学院,辽宁,沈阳,110168 3. 中国科学院沈阳自动化研究所,辽宁,沈阳,110016 |
| 基金项目： | 辽宁省自然科学基金资助项目 ( 0 10 70 5 ) |
| 摘 要： | 本文介绍了小波变换理论,讨论了基本小波函数的选取准则和小波变换算法,分析了小波变换与人工智能等其它方法的结合方式和特点.通过介绍小波变换在信号瞬态分析、图像边沿检测、图像去噪、模式识别、数据压缩、分形信号分析等方面的应用实例,讨论了小波变换在处理非平稳信号和复杂图像时的优势.最后,对小波变换理论的发展及其应用前景作了描述. |
| 关 键 词： | 小波变换 神经网络 模糊逻辑 专家系统 粗糙集 遗传算法 |
| 文章编号： | 1002-0411(2004)01-0067-05 |
Wavelet Transform Theory and Its Application Progress:a Review |
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| GUO Tong-ying ,,WU Cheng-dong,QU Dao-kui. Wavelet Transform Theory and Its Application Progress:a Review[J]. Information and Control, 2004, 33(1): 67-071 | |
| Authors: | GUO Tong-ying WU Cheng-dong QU Dao-kui |
| Affiliation: | GUO Tong-ying 1,2,WU Cheng-dong2,QU Dao-kui2 |
| Abstract: | This paper, the wavelet transform theory is introduced, the criterions of choosing basic wavelet function and the algorithm of wavelet transform are discussed, and the ways and characteristics of wavelet transform combining with artificial intelligence and other methods are analyzed. The application examples of wavelet transform in the fields of signal instantaneous analysis, image edge detection, image denoising, pattern recognition, data compression and fractal signal analysis are reviewed. The advantage of processing unstable signals and complicated images by wavelet transform is discussed. At the end, the development and future trends of wavelet transform are pointed out. |
| Keywords: | wavelet transform neural network fuzzy logic expert system rough set genetic algorithm |
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