机构

• 地理科学与资源研究所 [1]
• 成都山地灾害与环境研... [1]
• 计算技术研究所 [1]
• 长春光学精密机械与物... [1]
• 软件研究所 [1]

采集方式

• OAI收割 [5]

内容类型

• 期刊论文 [3]
• SCI/SSCI论文 [1]
• 会议论文 [1]

发表日期

• 2015 [1]
• 2013 [2]
• 2008 [1]
• 2006 [1]

学科主题

• 摄影测量与遥感技术 [1]

筛选

浏览/检索结果: 共5条，第1-5条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 A hybrid real-time tidal prediction mechanism based on harmonic method and variable structure neural network SCI/SSCI论文  OAI收割 2015 作者:  Yin J. C.;  Wang, N. N.;  Hu, J. Q. 收藏  |  浏览/下载：23/0  |  提交时间：2015/12/09 Tidal prediction  Hybrid model  Variable neural network  Harmonic  method  Sliding data window  learning algorithm  storm-surge  models  sea  framework   An Enhanced Spatial and Temporal Data Fusion Model for Fusing Landsat and MODIS Surface Reflectance to Generate High Temporal Landsat-Like Data 期刊论文  OAI收割 REMOTE SENSING, 2013, 卷号: 5, 期号: 10, 页码: 5346-5368 作者:  Zhang, Wei;  Li, Ainong;  Jin, Huaan;  Bian, Jinhu;  Zhang, Zhengjian 收藏  |  浏览/下载：45/0  |  提交时间：2013/11/01 data fusion  linear spectral mixing model  multi-resolution segmentation  sliding window  temporal weight   Multi-sensor Data Fusion Based on Consistency Test and Sliding Window Variance Weighted Algorithm in Sensor Networks 期刊论文  OAI收割 COMPUTER SCIENCE AND INFORMATION SYSTEMS, 2013, 卷号: 10, 期号: 1, 页码: 197-214 Shu, Jian; Hong, Ming; Zheng, Wei; Sun, Li-Min; Ge, Xu   |  收藏  |  浏览/下载：22/0  |  提交时间：2014/12/16 wireless sensor networks  data fusion  consistency test  sliding window  variance weighted   Correction method for detection of the frequencies of railway fsk signals (EI CONFERENCE) 会议论文  OAI收割 2008 9th International Conference on Signal Processing, ICSP 2008, October 26, 2008 - October 29, 2008, Beijing, China 作者:  Yu J. 收藏  |  浏览/下载：63/0  |  提交时间：2013/03/25 In order to acquire the information of railway binary frequency-shift keying signals  which include upper/down side frequencies and base low-frequency with high-accuracy  a novel frequency detection algorithm for France UM-71 system is proposed. Combining fast Fourier transform with the ratio correction method  the carrier frequency and the base frequency are obtained. Furthermore  the hardware consumption has been decreased. And it possesses the advantage of simple algorithm and fast operation speed. Comparing with the detection of the base frequency  the upper/down side frequency of railway signal is more difficult. Based on spectrum analysis and the spectrum correction  a new method  which adopts the sliding window  is put forward in this paper. The absolute differences between the upper side frequencies and the down side frequencies obtained are regarded as the criterion for judgment. Then the set of data  in which the maximum absolute value is  is to be the result of the upper/down side frequency. Because the sliding window will go through every stage when the upper/down side frequency changes  therefore  it is not sensitive enough to the position of data which need to be transformed. Using the method mentioned above  the experiment results show that the accuracy requirement of the side frequency is satisfied well. 2008 IEEE.   Maintaining stream statistics over multiscale sliding windows 期刊论文  OAI收割 ACM TRANSACTIONS ON DATABASE SYSTEMS, 2006, 卷号: 31, 期号: 4, 页码: 1305-1334 作者:  Jiao, Yishan   |  收藏  |  浏览/下载：25/0  |  提交时间：2019/12/16 algorithms  performance  data stream  F-0  Jacard's similarity coefficient  multiscale sliding window model