中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共5条,第1-5条 帮助

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PacketUsher: Exploiting DPDK to accelerate compute-intensive packet processing 期刊论文  OAI收割
COMPUTER COMMUNICATIONS, 2020, 卷号: 161, 页码: 324-333
作者:  
Ren, Qingqing;  Zhou, Liang;  Xu, Zhijun;  Zhang, Yujun;  Zhang, Lei
  |  收藏  |  浏览/下载:29/0  |  提交时间:2020/12/10
Methodology research in exploring geothermal resources by using infrared remote sensing 会议论文  OAI收割
Proceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP, Tianjin, China, 2009
Qiao; Yuliang1; Zhao; Shangmin2; Fang; Yue3
收藏  |  浏览/下载:30/0  |  提交时间:2011/08/23
Comparison of LST retrieval algorithms between single-channel and split-windows for high-resolution infrared camera 会议论文  OAI收割
2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009,, Cape Town, South africa, July 12, 2009 - July 17,2009
Zhu, Li; Li, Jiaguo; Wu, Chuanqing; Yang, Bingfeng; Li, Qing; Gong, Hui
收藏  |  浏览/下载:27/0  |  提交时间:2014/12/07
Shangri-la: Achieving high performance from compiled network applications while enabling ease of programming 期刊论文  OAI收割
ACM SIGPLAN NOTICES, 2005, 卷号: 40, 期号: 6, 页码: 224-236
作者:  
Chen, MK;  Li, XF;  Lian, RQ;  Lin, JH;  Liu, LX
  |  收藏  |  浏览/下载:16/0  |  提交时间:2019/12/16
AE signal processing and DSP implementation based on wavelet packet analysis (EI CONFERENCE) 会议论文  OAI收割
ICMIT 2005: Information Systems and Signal Processing, September 20, 2005 - September 23, 2005, Changchun, China
作者:  
Zhao J.;  Wang K.
收藏  |  浏览/下载:16/0  |  提交时间:2013/03/25
To improve the accuracy of AE (Acoustic Emission) testing  the wavelet packet analysis was introduced to process the AE signals. Extraction of the fault characteristic information would be influenced greatly if the faulted AE signal was not effectively denoised. Based on discussing the fast searching algorithm of BWPB (Best Wavelet Packet Basis) adopting Shannon entropy  a new method based on BWPB was presented to denoise the AE signal from the faulted composite plate. Analyzing was performed on the denoised signal and the fault characteristic information was exacted. To improve the real-time performance of the wavelet packet analysis algorithm  it was performed on the DSP (Digital Signal Processing) chip TMS320VC5409. The experimental results show that the algorithm can not only reduce the noise by 10dB but also effectively extract the faulted characteristics information from the AE signal.