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您的检索式：作者名="LOU Jinming"
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| 1 | Crustal structure in Xiaojiang fault zone and its vicinity显示文摘Based on the integrative interpretation of travel-time data and amplitude information obtained from the deep seismic sounding experiment on the Chuxiong-Luoping profile,eastern Yunnan province,carried out in January of 2005,we present a 2-D P wave velocity structure along the profile. The crustal structure shows remarkable contrasts between the two sides of the Xiaojiang fault zone,although the whole profile is situated within the Yangtze platform. The average P wave velocities of the crust on the west and east sides of the fault zone are 6.21 km/s and 6.32 km/s,respectively,and the crustal thicknesses are 41 km and 45 km,respectively. These results imply that the crust to the east of the Xiaojiang fault zone presents characteristics of crustal structure in a stable platform,while the crust to the west is complicated with a lower velocity zone in middle of the upper crust. The average velocity of 6.21 km/s is lower than the global continental crustal average (6.30 km/s),indicating that the region is tectonically active. According to the lateral variation of velocity and depth of interfaces (including the Moho),it is inferred that the Xiaojiang fault zone has cut through the whole crust. It is also deduced that existence of low velocity zone in middle of the upper crust is conducive to the south-southeastern sliding of the SichuanYunnan (Chuan-Dian) rhombus block. | Chunyong Wang Hai Lou Xili Wang Jiazheng Qin Runhai Yang Jinming Zhao | 2009 | Earthquake Science2009，22，4： | 14 |
| 2 | Application of Maximum Entropy Theorem in Channel Estimation显示文摘Scholars have been highly concerned with the blind channel estimation of multi-carrier modulation transmission systems, and the decoding process of block codes is usually closely related to channel parameters.Therefore, the accurate estimation of channel parameters is an important method to ensure communication accuracy. According to the transmission characteristics of multi-carrier modulated transmission channels, this paper uses the maximum likelihood theorem and the maximum entropy theorem to put forward a blind channel estimation method based on the proposed received signals. In order to verify the effect of this method, this research utilizes the BP decoding algorithm, which is used in LDPC coding, to calculate the symbol error rate and analyze the estimated effect of the transmission system. The simulation results show that the proposed method can estimate channel parameters effectively, and that the symbol error rate of LDPC decoding is almost similar to that of non-blind channel estimation. This implies that the proposed channel estimation method can effectively improve both channel utilization and transmission efficiency. | ZHANG Zhengyu LOU Jinming JIN Mengdi YAO Yuan ZHU Jingguo | 2020 | Chinese Journal of Electronics2020，29，2： | 1 |
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