应用图像处理技术改进联合时频表示

Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003 Pub Date : 2003-09-27 DOI:10.1109/ICCIMA.2003.1238132

Li Tao, Yang Shao-quan

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引用次数: 4

摘要

时频表示使得分析传统傅里叶变换所不能适应的非平稳信号成为可能。然而，由于海森堡-加伯不等式的约束，时间精度和频率精度之间的权衡是不可避免的。现有的自适应核设计等方法对某些特定的信号可以得到满意的结果，但要么需要先验知识，要么需要参数搜索。本文旨在探讨将图像处理技术应用于时频分布，有效提高表征分辨率，使信号的检测和估计变得容易。

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Improvement on joint time-frequency representation with application of image processing technique

Time-frequency representation makes it possible to analyse non-stationary signal, which traditional Fourier transform is not adapted to. However, the trade-off between time and frequency accuracy is inevitable because of the constraint of Heisenberg-Gabor inequality. Current methods such as adaptive kernel design can give satisfactory result for some particular signals, but either the prior knowledge or parameter search is needed. This paper is intended to discuss the application of image processing technique to time-frequency distribution, which can effectively improve the resolution of representation and make the detection and estimation of signal an easy job.

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Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003

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