论文部分内容阅读
提出将SPWVD与WVD结合,得到没有交叉项、高分辨率的时频分析算法.首先由低分辨率但稳健的SPWVD给出信号时频分布的大概区域,然后对SPWVD结果运用阈值处理来提高算法的运算速度和信噪比;再利用处理过的结果对高分辨率但不稳健的WVD时频图进行加权处理.为提高该方法的性能,还着重研究了阈值的选取问题,给出了不同信噪比条件下最佳阈值选取范围.仿真实验证明所提方法得到的结果既能保证分辨率又能兼顾稳健性.
We propose to combine SPWVD with WVD to get the time-frequency analysis algorithm without cross term and high resolution.Firstly, the approximate region of signal time-frequency distribution is given by low resolution but robust SPWVD, and then the threshold value is used to improve the algorithm And then use the processed results to weight the high-resolution but not robust WVD time-frequency maps.To improve the performance of this method, we also study the threshold selection problem and give the different Signal to noise ratio conditions under the optimal threshold selection.Experimental results show that the proposed method can not only ensure the resolution but also take into account the robustness.