期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
Physical Layer Security in MIMO Wiretap Channels with Antenna Correlation 被引量:4
1
作者 Gangcan Sun Zhuo Han +2 位作者 Jingbo Jiao Zhongyong Wang Dagang Wang 《China Communications》 SCIE CSCD 2017年第8期149-156,共8页
To investigate the impact of antenna correlation on secrecy performance in MIMO wiretap channels with Nakagami-m fading, the expressions of secrecy outage probability and positive secrecy probability were derived. Div... To investigate the impact of antenna correlation on secrecy performance in MIMO wiretap channels with Nakagami-m fading, the expressions of secrecy outage probability and positive secrecy probability were derived. Diversity order and array gain were also achieved for further insight. The study was based on the information theory that physical layer security can be guaranteed when the quality of the main channel is higher than that of the eavesdropper's channel. Monte Carlo simulations well validated the numerical results of analytic expressions. It was shown that antenna correlation is detrimental to secrecy performance when average SNR of the main channel is at medium and high level. Interestingly, when average SNR of the main channel reduces to low level, the effect of antenna correlation becomes benefi cial to secrecy performance. 展开更多
关键词 physical layer security antenna correlation wiretap channels outage probability Nakagami-m fading
下载PDF
PRODUCT IMAGE RETRIEVAL BASED ON CO-FEATURES OF THE OBJECT
2
作者 Fu Haiyan Kong Xiangwei t Yang Nan Zhou Jianhui Chu Fengtao 《Journal of Electronics(China)》 2010年第6期815-821,共7页
In this paper, we propose a product image retrieval method based on the object contour corners, image texture and color. The product image mainly highlights the object and its background is very simple. According to t... In this paper, we propose a product image retrieval method based on the object contour corners, image texture and color. The product image mainly highlights the object and its background is very simple. According to these characteristics, we represent the object using its contour, and detect the corners of contour to reduce the number of pixels. Every corner is described using its approximate curvature based on distance. In addition, the Block Difference of Inverse Probabilities (BDIP) and Block Variation of Local Correlation (BVLC) texture features and color moment are extracted from image's HIS color space. Finally, dynamic time warping method is used to match features with different length. In order to demonstrate the effect of the proposed method, we carry out experiments in Mi-crosoft product image database, and compare it with other feature descriptors. The retrieval precision and recall curves show that our method is feasible. 展开更多
关键词 Product image retrieval Multi-features Approximate curvature based on distance Block Difference of Inverse probabilities (BDIP) and Block Variation of Local Correlation (BVLC) texture features Color moment
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部