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	Commissioning progress of the FAST 期刊论文 OAI收割 SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2019, 卷号: 62, 期号: 5, 页码: 22 作者: Jiang, Peng; Yue, YouLing; Gan, HengQian \| 收藏 \| 浏览/下载：28/0 \| 提交时间：2020/03/10 radio telescopes and instrumentation astronomical observations radio wave receivers algorithms and implementation control systems
	Application research of intelligent algorithm in electric-driven flight simulation turntable (EI CONFERENCE) 会议论文 OAI收割 ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM 2008, August 3, 2008 - August 4, 2008, Guangzhou, China Xie M.-J.; Wang Z.-Q.; Wang L.-M. 收藏 \| 浏览/下载：38/0 \| 提交时间：2013/03/25 Application Research of Intelligent Algorithm in Electric-driven Flight Simulation Turntable is discussed in this paper. Fuzzy control is used to solve the problem of fast tracking and overshoot since its essence belongs to PD control In order to improve the performance of system in low speed a method named variance-gain adaptive algorithm is introduced in this paper. It defines the amplifier gain as a function whose independent variable is speed so the amplifier gain can automatically be adjusted with the change of speed. When the turntable runs at low speed it has a big amplifier gain a good rigidity and high tracking accuracy. When the turntable runs at high speed the method can control the amplifier gain and ensure the system dynamic performance. Design and implementation of these algorithms is introduced in detail. Experiment results show that the Flight Simulation Turntable has achieved the required performance through using fuzzy control algorithm and variance-gain adaptive algorithm. 2008 IEEE.
	Real-time quality control on a smart camera (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China Xiao C.; Zhou H.; Li G.; Hao Z. 收藏 \| 浏览/下载：29/0 \| 提交时间：2013/03/25 A smart camera is composed of a video sensing high-level video processing communication and other affiliations within a single device. Such cameras are very important devices in quality control systems. This paper presents a prototyping development of a smart camera for quality control. The smart camera is divided to four parts: a CMOS sensor a digital signal processor (DSP) a CPLD and a display device. In order to improving the processing speed low-level and high-level video processing algorithms are discussed to the embedded DSP-based platforms. The algorithms can quickly and automatic detect productions' quality defaults. All algorithms are tested under a Matlab-based prototyping implementation and migrated to the smart camera. The smart camera prototype automatic processes the video data and streams the results of the video data to the display devices and control devices. Control signals are send to produce-line to adjust the producing state within the required real-time constrains.
	Image compression based on biorthogonal wavelet transform (EI CONFERENCE) 会议论文 OAI收割 ISCIT 2005 - International Symposium on Communications and Information Technologies 2005, October 12, 2005 - October 14, 2005, Beijing, China 作者: Gao Y.; Liu H.; Liu H.; Liu H. 收藏 \| 浏览/下载：32/0 \| 提交时间：2013/03/25 A method for image compression of biorthogonal wavelet transform based on lifting scheme with SPIHT (Set Partitioning In Hierachical Trees) is proposed in this paper. Wavelet transform affords wide space for image coding algorithms because of its excellent space-frequency localization characterizations. The compact supported symmetrical and biorthogonal wavelet has linear phase so it is applied on image compression area widely. The lifting scheme is an efficient method for constructing the wavelet filter after multiresolution. Under the condition of biorthogonal biorthogonal wavelet base can be constructed freely according to the wavelet performance. And it can quicken the implementation speed of the wavelet transform. Analyzing the algorithm of lifting scheme is applying for constructing biorthogonal wavelet. Experimental results indicate that the method of the biorthogonal wavelet that has good performances with SPIHT is applying for image compression so as image synthesis performs well. 2005 IEEE.