A novel fault identification algorithm based on smooth pseudo Wigner-Ville distribution (WVD) is proposed, which focused on the time-frequency analysis of network traffic.
通过研究网络流量的时频分析，提出了一种新的基于平滑魏格纳分布(WVD)的故障识别算法。
After adopting the smooth pseudo WVD that reduces the interference of the cross term, the series is transformed into a two-dimension distribution of fluctuation energy.
采用平滑WVD可消除交叉项的干扰，并将网络流量序列转换为二维空间的波动能量分布。
After adopting the smooth pseudo WVD that reduces the interference of the cross term, the series is transformed into a two-dimension distribution of fluctuation energy.
采用平滑WVD可消除交叉项的干扰，并将网络流量序列转换为二维空间的波动能量分布。
应用推荐