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Advancements in Buoy Wave Data Processing through the Application of the Sage-Husa Adaptive Kalman Filtering Algorithm 期刊论文  OAI收割
SENSORS, 2023, 卷号: 23, 期号: 16, 页码: 18
作者:  
Jiang, Sha;  Chen, Yonghua;  Liu, Qingkui
  |  收藏  |  浏览/下载:13/0  |  提交时间:2023/12/13
A combination of multi-GNSS time transfer based on the fault-tolerant federated Kalman filter 期刊论文  OAI收割
ADVANCES IN SPACE RESEARCH, 2023, 卷号: 71, 期号: 10, 页码: 4018-4029
作者:  
Wang, Weixiong;  Dong, Shaowu;  Wu, Wenjun;  Guo, Dong;  Gao, Zhe
  |  收藏  |  浏览/下载:14/0  |  提交时间:2023/12/13
Effects of layered combined substrates on plant growth and treatment performance and its spatiotemporal variation of vertical-flow constructed wetlands 期刊论文  OAI收割
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2019, 卷号: 26, 期号: 22, 页码: 23082-23094
作者:  
Wu, Junmei;  Xu, Dong;  Zhou, Qiaohong;  Zhang, Liping;  He, Feng
  |  收藏  |  浏览/下载:192/0  |  提交时间:2019/09/10
Design of a bulk acoustic wave filter for Wi-Fi band 期刊论文  OAI收割
Proceedings of SPIE - The International Society for Optical Engineering, 2017, 卷号: 10462, 页码: 1046218
作者:  
Gao, Yang
  |  收藏  |  浏览/下载:24/0  |  提交时间:2019/08/29
Design of a bulk acoustic wave filter for Wi-Fi band 期刊论文  OAI收割
Proceedings of SPIE - The International Society for Optical Engineering, 2017, 卷号: 10462, 页码: 1046218
作者:  
Jia, Le;  Gao, Yang;  Gao Y(高扬);  Han, Chao
  |  收藏  |  浏览/下载:15/0  |  提交时间:2019/08/27
Studies on the treatment efficiency of sediment phosphorus with a combined technology of PCFM and submerged macrophytes 期刊论文  OAI收割
ENVIRONMENTAL POLLUTION, 2015, 卷号: 206, 页码: 705-711
作者:  
Zhang, Yi;  He, Feng;  Xia, Shibin;  Zhou, Qiaohong;  Wu, Zhenbin
收藏  |  浏览/下载:19/0  |  提交时间:2016/01/29
Research of OBC and cable data matched filtering in wavelet domain 期刊论文  OAI收割
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2014, 卷号: 57, 期号: 1, 页码: x
Zhu, JM; Fang, ZY; Zhang, XY; Zhang, LX; Xie, SL
收藏  |  浏览/下载:30/0  |  提交时间:2014/12/11
The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者:  
Sun H.;  Han H.-X.;  Sun H.
收藏  |  浏览/下载:58/0  |  提交时间:2013/03/25
Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring  precision  and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection  the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure  but in order to capture the change of the state space  it need a certain amount of particles to ensure samples is enough  and this number will increase in accompany with dimension and increase exponentially  this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining"  we expand the classic Mean Shift tracking framework.Based on the previous perspective  we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis  Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism  used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation  and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information  this approach also inhibit interference from the background  ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).  
An automatic pedestrian detection and tracking method: Based on mach and particle filter (EI CONFERENCE) 会议论文  OAI收割
2011 International Conference on Network Computing and Information Security, NCIS 2011, May 14, 2011 - May 15, 2011, Guilin, Guangxi, China
Han Q.; Yao Z.
收藏  |  浏览/下载:16/0  |  提交时间:2013/03/25
Real-time restoration for motion-blurred color images by multichannel combination processing (EI CONFERENCE) 会议论文  OAI收割
1st International Workshop on Education Technology and Computer Science, ETCS 2009, March 7, 2009 - March 8, 2009, Wuhan, Hubei, China
作者:  
Sun H.;  Sun H.;  Li S.
收藏  |  浏览/下载:43/0  |  提交时间:2013/03/25
A fast algorithm is proposed to restore the color images  degraded in a deterministic way by motion- blurred  by multichannel combination processing. Based on the color space conversion model  the point spread functions of the image motion on each plane of YUV422 image can be achieved. The U  V plane of YUV422 images are combined to form a new UV plane which has the same size as Y plane. Then  the Y  UV plane are packed into a two dimensional complex array which can be transformed directly by FFT and result a composite frequency spectrum. Wiener filter is applied to filter Y  UV spectrums separated from the composite spectra. On Graphics Processing Unit (GPU) platform  the proposed algorithm can restore a 1024x1024 24-bit motion-blurred color image in 7.95ms  and the PSNR of the restored image is 27.12 which reveals a good restoration performance. 2009 IEEE.