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浏览/检索结果: 共5条，第1-5条 帮助 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 Brain-computer interface paradigms and signal processing strategy for steady state visual evoked potential 期刊论文 Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2015, 卷号: 49, 期号: [db:dc_citation_issue], 页码: 1-7 作者:  Xu, Guanghua;  Zhang, Feng;  Xie, Jun;  Li, Yeping;  Han, Chengcheng 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/02 Brain computer interfaces (BCIs)  Feature extraction methods  High frequency time series  Improved Hilbert-Huang transforms  Navigational technologies  Newton's rings  Steady state visual evoked potentials  Time frequency characteristics   The Research of real time auto-recognition of the moire fringe (EI CONFERENCE) 会议论文 International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, May 24, 2011 - May 26, 2011, Beijing, China Wang M.-J.; Wu Z.-G. 收藏  |  浏览/下载：16/0  |  提交时间：2013/03/25 Measuring the movement of raster by the method of moire fringe has the advantage of high sensitivity  high resolution and non-contacted measurement. The characteristic of moire fringe is that the image is white alternate with black  the angle of the stripes is uniform  the width of the stripes is uniform  the terminators of the stripes aren't clear. A fast method that can figure out the width and angle of the moire fringe precisely is put forward in this paper. It calculates the angle the stripes firstly. According to the principle of the minimum mean squared error (MMSE)  the closer a series of data is  the smaller the value of the MMSE will be. The method is described as follows: It takes the image's center as the origin  180 beelines pass through the origin with the same angle interval. it calculates the value of the minimum mean squared error of the 180 beelines and find out the least one among those  then the angle of the moire fringe comes out primarily. In order to improving the calculating precision of moire fringe  60 equal angles are divided in the neighborhood of the angle  then a precise angle of moire fringe is calculated according to the principle of the MMSE. After getting out the angle of the moire fringe  we begin to calculate the width of moire fringe. A line vertical with the moire fringe is drawn  and we can get the width of the moire fringe by the vertical line. In order to get over the influence of the noise  an effective area with the shape of diamond is selected in the image. The data of area is accumulated and projected according to the direction of moire fringe  and a sine curve come out. The width of moire fringe can be obtained by getting the position of the first wave crest  the position of the last wave crest and the number of wave crest. Experiments prove that the precision of the method put forward in this paper is enhanced in comparison with the traditional frequency method  the precision of width calculation achieves to 99.6% according to the evaluation indicators of width detection error. The computing speed is boosted largely compared with traditional method  and it can achieve with 15 ms  that satisfying the demand of real time. 2011 SPIE.   Transient hydraulic pressure fluctuation signal analysis of hydroturbine based on Hilbert-Huang transform 期刊论文 2010, 2010 Feng Zhi-peng; Chu Fu-lei 收藏  |  浏览/下载：3/0 High frequency financial time series forecasting via particle filtering 会议论文 2nd International Conference on Information Management, Innovation Management and Industrial Engineering, 2009-01-01 作者:  Zhang Gaoyu[1];  Li Qiongfei[2];  Luo Qing[3];  Zhou Zhizhao[4] 收藏  |  浏览/下载：5/0  |  提交时间：2019/04/30 realized volatility  particle filtering  high frequency  financial time series  forecasting   Similarity Search Based on Random Projection for High Frequency Time Series 会议论文 IEEE International Conference on Cybernetic Intelligent Systems (CIS 2008), Chengdu, China, September 21-24, 2008 作者:  Wu W(吴薇);  Hu JT(胡静涛) 收藏  |  浏览/下载：12/0  |  提交时间：2012/06/06 similarity search  random projection  high frequency time series  data mining