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Articles by Zhi-Jiang Xu
Total Records ( 3 ) for Zhi-Jiang Xu
  Kang Wang , Zhi-Jiang Xu , Yuan Wu and Jing-Yu Hua
  As a non-Gaussian model, the alpha stable distribution has gained much attention because of its generality to model the heavy-tail and impulsive noise which is widely observed in many communication channels. Unfortunately, there exists no analytic expression for the Probability Density Function (PDF) of Symmetric Alpha Stable (SαS) distribution. In order to approximate the PDF of SαS, we propose a bi-region curve approximation algorithm with the bi-region separated by the triple divergence. Specially, within the triple divergence, we propose a penalty function with two special parameters and adopt a very simple and effective exponential function for approximation. Different from the existing algorithms using the series expansion, our model avoids the problem of selecting the number of the series items and the risk of series expansion divergence. Compared with the conventional Cauchy-Gaussian mixture approximation, our derivation emploits the simple bi-region approximation and yields a very simple and closed-form expression. Numerical results verify that our approximation is very close to the actual PDF of SαS.
  Zhi-Jiang Xu , Shui-Qin Chu , Yuan Wu and Li-Min Meng
  TFRC (TCP (Transmission Control Protocol) Friendly Rate Control) has been widely used in wired networks for its enhanced friendliness and fairness. However, TFRC cannot distinguish between packet losses due to network congestion and those due to wireless link error in wireless networks. Thus, in this study an improved TFRC scheme that is able to differentiate between congestion losses and wireless link error losses for wired/wireless hybrid network is proposed. Specifically, the improved TFRC scheme utilizes the information of the one-way delay to regulate the transmission rate at the sender and simulation experimental results show this strategy is effective and performs much better than the traditional TFRC.
  Zhi-Jiang Xu , Sheng-Feng Yu , Hui Wang , Li-Min Meng and K.L. Du
  License plate location is a critical part in the license plate detection and recognition system. It is sensitive to weather, illumination and the size of license plate. A variety of license plate location algorithms is proposed, which have limited adaptability. In order to resolve the above mentioned problem, this study improves the image preprocessing, image filtering and discrimination of pseudo-regions in 6 different algorithms based on the corner detection, on wavelet transform, on HSV color space, on RGB color space, on license plate texture and on the integrated features of license plate respectively. The experiments show that the improved algorithms have strong robust.
 
 
 
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