QQ客服 官方微博 反馈留言

浏览/检索结果: 共5条，第1-5条 帮助 限定条件 专题：湖南大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 A Fast Power Grid Frequency Estimation Approach Using Frequency-Shift Filtering. 期刊论文 IEEE Transactions on Power Systems, 2019, 卷号: Vol.34 No.3, 页码: 2461-2464 作者:  Li, Jianmin;  Teng, Zhaosheng;  Wang, Yajun;  You, Shutang;  Liu, Yilu 收藏  |  浏览/下载：18/0  |  提交时间：2019/12/13 Computational modeling  Convolution  Convolution average filter  frequency estimation  frequency-shift filtering  Harmonic analysis  high reporting rate  Power grids  Time-frequency analysis   A Fast Power Grid Frequency Estimation Approach Using Frequency-Shift Filtering 期刊论文 IEEE Transactions on Power Systems, 2019, 卷号: Vol.34 No.3, 页码: 2461-2464 作者:  Jianmin Li;  Zhaosheng Teng;  Yajun Wang;  Shutang You;  Yilu Liu 收藏  |  浏览/下载：12/0  |  提交时间：2019/12/13 Frequency estimation  Time-frequency analysis  Power grids  Harmonic analysis  Convolution  Computational modeling  Convolution average filter  frequency estimation  frequency-shift filtering  high reporting rate   A Fast Power Grid Frequency Estimation Approach Using Frequency-Shift Filtering. 期刊论文 IEEE Transactions on Power Systems, 2019, 卷号: Vol.34 No.3, 页码: 2461-2464 作者:  Li, Jianmin;  Teng, Zhaosheng;  Wang, Yajun;  You, Shutang;  Liu, Yilu 收藏  |  浏览/下载：6/0  |  提交时间：2019/12/17 Computational modeling  Convolution  Convolution average filter  frequency estimation  frequency-shift filtering  Harmonic analysis  high reporting rate  Power grids  Time-frequency analysis   A Fast Power Grid Frequency Estimation Approach Using Frequency-Shift Filtering. 期刊论文 IEEE Transactions on Power Systems, 2019, 卷号: Vol.34 No.3, 页码: 2461-2464 作者:  Li, JM;  Teng, ZS;  Wang, YJ;  You, ST;  Liu, YL 收藏  |  浏览/下载：10/0  |  提交时间：2019/12/17 Computational modeling  Convolution  Convolution average filter  frequency estimation  frequency-shift filtering  Harmonic analysis  high reporting rate  Power grids   Multiscale Bi-Gaussian Filter for Adjacent Curvilinear Structures Detection With Application to Vasculature Images 期刊论文 IEEE Transactions on Image Processing, 2013, 卷号: Vol.22 No.1, 页码: 174-188 作者:  Xiao, CY;  Staring, M;  Wang, YN;  Shamonin, DP;  Stoel, BC 收藏  |  浏览/下载：5/0  |  提交时间：2020/01/05 Convolution  Electron tubes  Frequency domain analysis  Kernel  Laplace equations  Shape  Smoothing methods  Bi-Gaussian kernel  curvilinear structure detection  feature extraction  multiscale filtering  vessel enhancement