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多维信号的微局部奇异方向检测
引用本文:陈小蔷, 王桥, 吴乐南. 多维信号的微局部奇异方向检测[J]. 电子与信息学报, 2004, 26(5): 696-701.
作者姓名:陈小蔷  王桥  吴乐南
作者单位:东南大学无线电工程系,南京,210096;东南大学无线电工程系,南京,210096;东南大学无线电工程系,南京,210096
基金项目:国家自然科学基金(60002008)
摘    要:多维信号的奇异性方向检测在许多领域都有重要的应用。在微局部分析的意义下,可以将图像的边缘和奇异性方向看作波前集。该文从工程角度对此给出一个比较直观的解释,并且基于此提出了一个自动检测多重奇异性方向的算法,可用于图像分析和多维信号检测等多个领域。

关 键 词:奇异性   微局部分析   波前集   多维信号处理
文章编号:1009-5896(2004)05-0696-06
收稿时间:2002-12-29
修稿时间:2002-12-29

Detection of Microlocal Singularity Directions of Multi-dimensional Signals
Chen Xiao-qiang, Wang Qiao, Wu Le-nan. Detection of Microlocal Singularity Directions of Multi-dimensional Signals[J]. Journal of Electronics & Information Technology, 2004, 26(5): 696-701.
Authors:Chen Xiao-qiang  Wang Qiao  Wu Le-nan
Affiliation:Department of Radio Engineering; Southeast University; Nanjing 210096; China
Abstract:Detecting singularities of multi-dimensional signals is important and interesting in various fields. The edge of an image and the directions of singularity can be regarded as a wavefront set in the meaning of microlocal analysis, which is intuitively illustrated from the viewpoint of engineering in this paper. A wavefront detection algorithm is proposed, which is based on microlocal analysis and can be applied to image analysis, multi-dimensional signal detection and many other related fields. Experimental results indicate that this algorithm is simple and successful.
Keywords:Singularity  Microlocal analysis  Wavefront set  Multi-dimensional signal processing
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