摘要
提出了利用数字图像处理技术对信号时频表示结果进行处理的方法。该方法通过时频平面的平滑滤波、阈值处理与时频分布脊线提取等算法,能够在抑制噪声的同时,得到具有高度聚集性的时频分布。相对于信号的模糊域处理和计算核选择方法,该方法不需要关于信号的先验知识,其结论可以为多信号环境中信号区分、描述与参数识别提供依据,同时可以应用于宽带信号的到达角估计。相应的仿真结果验证了该方法的有效性。
The technique that improves time-frequency representation using digital image processing methods is introduced. The combination of the 2-D smoothing operation, the threshold comparison and the selection of the peaks of time-frequency distribution can lead to the improved time-frequency representation with high concentration and the noise suppression. Compared with traditional methods such as the design of computational kernel and operations in ambiguity domain, it requires no prior knowledge of the signal. This conclusion can be applied to signal separation and parameter identification. It can also be used in the estimation of direction of arrival (DoA) with wideband signal. The effectiveness of the technique is demonstrated by the simulations.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2004年第10期1360-1363,1517,共5页
Systems Engineering and Electronics
基金
国防预研基金资助课题(41101030103)
关键词
图像处理
时频变换
线性滤波
邻域
image processing
time-frequency transform
linear filtering
neighborhood
