基于MeanShift的PDV信号提取方法研究
首发时间:2014-02-24
摘要:针对目前光学多普勒测速(PDV)信号没有有效的信号提取方法的状况,本文提出了一种基于图像形态学的短时傅里叶变换(STFT)频谱的信号轨迹提取算法,该算法利用对搜索方向进行加权的MeanShift迭代算法来得到密度函数极大值点作为有效信号的轨迹点。实验表明,在给出合适的初始迭代点的情况下,该算法依然能从含有大量噪声及干扰的短时傅里叶变换频谱图中准确地将有效信号提取出来。
关键词: 信号与信息处理 PDV信号提取 STFT MeanShift
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The Extraction Method of PDV signal Based On MeanShift
Abstract:Considering the current situation where there is not valid signal extraction algorithm for the Photon Doppler velocimetry(PDV) data, this paper present a kind of trajectory extraction algorithm based on image morphology for the Short-Time Fourier transform (STFT) spectrum of the signal. The Algorithm uses the an iterative MeanShift weighting the search direction to get the maximum value points of the density function and these points can be regarded as the trajectory points of valid signal. Experimental results show that, when the proper initial point is given, the algorithm can accurately extract the trajectory of the valid signal from which contains a large amount noise and interference signal in the Short-Time Fourier Transform spectrum.
Keywords: signal and Information Processing signal extraction of PDV STFT MeanShift
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