中国科学院机构知识库网格系统: 检索

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	The architecture of blind equalizer for MIMO free space optical communication system 期刊论文 OAI收割 Proceedings of SPIE: Optical Communication and Optical Fiber Sensors and Optical Memories for Big Data Storage, 2016, 卷号: 10158, 页码: 101581H 作者: Li, Hongwei; Huang, Yongmei \| 收藏 \| 浏览/下载：32/0 \| 提交时间：2018/06/14 Antennas Big Data Bit Error Rate Blind Equalization Codes (Symbols) Communication Channels (Information Theory) Data Storage Equipment Digital Storage Efficiency Errors Fading Channels Feedback Control Fiber Optic Sensors Mimo Systems Opacity Optical Data Storage Optical Fiber Communication Optical Fibers Receiving Antennas Scintillation Telecommunication Repeaters Transmitters
	LQG control of networked control systems with limited information 期刊论文 OAI收割 Mathematical Problems in Engineering, 2014, 卷号: 2014, 页码: 1-12 作者: Liu QQ(刘庆泉); Jin F(金芳) 收藏 \| 浏览/下载：31/0 \| 提交时间：2014/12/29 Digital communication systems Feedback control Linear control systems Stabilization State feedback Trellis codes
	LQ control of networked control systems with limited data rates 期刊论文 OAI收割 ICIC Express Letters, Part B: Applications, 2014, 卷号: 5, 期号: 6, 页码: 1791-1797 作者: Liu QQ(刘庆泉); Jin F(金芳) 收藏 \| 浏览/下载：37/0 \| 提交时间：2014/11/29 Communication channels (information theory) - Control systems - Digital communication systems - Discrete time control systems - Linear systems - MIMO systems
	A bit-allocation scheme for feedback control under information constraints 期刊论文 OAI收割 ICIC Express Letters, 2014, 卷号: 8, 期号: 11, 页码: 3121-3126 作者: Liu QQ(刘庆泉); Xiu, Yang; Cao, Zhen 收藏 \| 浏览/下载：29/0 \| 提交时间：2015/01/09 Bandwidth Digital communication systems Discrete time control systems Feedback control Linear control systems Stabilization
	Stabilization of networked control systems with data-rate limitations and time delays 期刊论文 OAI收割 ICIC Express Letters, 2013, 卷号: 7, 期号: 8, 页码: 2369-2375 作者: Liu QQ(刘庆泉); Shen, WenRui 收藏 \| 浏览/下载：29/0 \| 提交时间：2013/12/26 Digital communication systems Networked control systems State feedback Time delay
	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.
	Lossless wavelet compression on medical image (EI CONFERENCE) 会议论文 OAI收割 4th International Conference on Photonics and Imaging in Biology and Medicine, September 3, 2005 - September 6, 2005, Tianjin, China 作者: Liu H.; Liu H.; Liu H. 收藏 \| 浏览/下载：44/0 \| 提交时间：2013/03/25 An increasing number of medical imagery is created directly in digital form. Such as Clinical image Archiving and Communication Systems (PACS). as well as telemedicine networks require the storage and transmission of this huge amount of medical image data. Efficient compression of these data is crucial. Several lossless and lossy techniques for the compression of the data have been proposed. Lossless techniques allow exact reconstruction of the original imagery while lossy techniques aim to achieve high compression ratios by allowing some acceptable degradation in the image. Lossless compression does not degrade the image thus facilitating accurate diagnosis of course at the expense of higher bit rates i.e. lower compression ratios. Various methods both for lossy (irreversible) and lossless (reversible) image compression are proposed in the literature. The recent advances in the lossy compression techniques include different methods such as vector quantization wavelet coding neural networks and fractal coding. Although these methods can achieve high compression ratios (of the order 50:1 or even more) they do not allow reconstructing exactly the original version of the input data. Lossless compression techniques permit the perfect reconstruction of the original image but the achievable compression ratios are only of the order 2:1 up to 4:1. In our paper we use a kind of lifting scheme to generate truly loss-less non-linear integer-to-integer wavelet transforms. At the same time we exploit the coding algorithm producing an embedded code has the property that the bits in the bit stream are generated in order of importance so that all the low rate codes are included at the beginning of the bit stream. Typically the encoding process stops when the target bit rate is met. Similarly the decoder can interrupt the decoding process at any point in the bil stream and still reconstruct the image. Therefore a compression scheme generating an embedded code can start sending over the network the coarser version of the image first and continues with the progressive transmission of the refinement details. Experimental results show that our method can get a perfect performance in compression ratio and reconstructive image.
	server-aided digital signature protocol based on password 会议论文 OAI收割 39th Annual International Carnahan Conference on Security Technology, Las Palmas, SPAIN, OCT 11-14, He YZ; Wu CK; Feng DG \| 收藏 \| 浏览/下载：17/0 \| 提交时间：2011/07/28 cryptographic mechanism secure communication server-aided digital signature protocol signature private key client-server systems digital signatures private key cryptography telecommunication security