摘要
提出一种基于离散Gabor变换的滤波算法,可以对瞬态信号进行时频分析,并选择合适的阀值抑制噪声,实现瞬态波形和噪声的分离。大量的数字处理结果表明该方法可以有效地恢复信号且保持信号的原始特征。
A filtering algorithm based on discrete Gabor transform is proposed, which can be used to conduct time-frequency analysis for transient signals. The appropriate threshold values can then be determined to limit the noise, and the transient wave can be separated from the noise consequently. Numerical processing results show that the algorithm can effectively restore the signals and maintain their original characteristics.
出处
《华东电力》
北大核心
2006年第11期11-13,共3页
East China Electric Power
基金
国家自然科学基金项目(50077013)
关键词
离散GABOR变换
瞬态波形
时频分析
信号滤波
discrete Gabor transform
transient wave
time-frequency analysis
signal filtering