TV跟踪系统光电轴一致性研究

本文论述复合制导系统 ＴＶ光电设备光电轴一致性问题，并给出新的处理方法。研究结果表明：本方法具有较高的精度与应用价值。     

高校合理布局与推进地区协调发展和城镇化

高等教育的合理布局直接关系到人力资源的开发、配置和有效利用.20世纪90年代,我国高等教育经过深化改革和管理体制的调整,得到大发展的机遇.目前,中央和各省、市、自治区教育行政部门都在考虑高等教育的发展、结构调整及合理布局问题.本报告试图从高等院校的合理布局出发,借鉴国外高等教育的布局及特点,根据我国的实际情况,提出建议,以更好地推动国家及各地区建设事业的协调发展,促进城镇化战略的实施. 　　……     

高原鼠兔体重生长动态数学模型之再探讨

本文用麦夸算法构造高原鼠兔体重生长的Logistic和Compertz曲线模型,其结果表明:Logistic曲线比Gompertz曲线更优化,Logistic模型比逻辑斯谛-指要饱和模型的精确度更高.     

一种新的仿真算法

本文提出了一种新的仿真算法,给出了计算公式和计算程序,研究了它的算法特点。它是一个显式方法,同欧拉法一样,每积分一步,只需计算一次右函数,但它的稳定区域与欧拉法不同。它被用于不适合用欧拉法的问题中。在运载火箭姿态控制系统仿真中,它得到了成功的应用。     

分块三级及矢量量化图像编码

本文提出了一种新的称为分块三级及矢量量化图像压缩编码方法。该方法是以分块截断编码技术和矢量量化技术为基础的编码方法。对两幅512×512×8静态测试图像进行的计算机模拟实验表明:平均编码率低于0.91比特/像素,即图像数据压缩比大于8.8倍,而信噪比不低于37dB,复原图像的主观质量较好。     

利福平菌丝体厌氧生化处理的研究

制药厂生产利福平过程中产生大量的利福平菌丝体,可严重污染环境。用厌氧消化法处理利福平菌丝体,消化温度40℃,反应器容积负荷2KgCOD/m~3·d,液料滞留期(SRT)14～20天,取得了良好的处理效果。COD去除率稳定在90％左右,BOD_5去除率达到95％以上,产气率达到0.49m~3/去除KgCOD。     

基于RBF网络的增量学习

提出了一种基于径向网络的增量学习算法 ,在对新样本进行学习时 ,通过恢复受干扰样本的方式来尽可能保持已有的知识不变 .模拟实验证明了本算法的正确性和有效性 .     

Dynamic Characteristics of Inter-Satellite Links in LEO Networks

To establish an efficient inter-satellite link (ISL) in an LEO network, the effect of geometric characteristics of ISL on the ISLs and the devices on the LEO satellite should be examined. Because of the continuous movement of the LEO satellite, the time-varying behaviours of the ISL's geometric charactersistics continuously change with the changes of the satellite's position on the orbit. These dynamic geometric characteristics of the ISLs are important for ISL's performance analyzing and the design of the devices on the LEO satellite. This paper describes dynamic geometric characteristics of ISL, analyzes the impact of these regulations on the tracking system of the satellite's antenna and the power adjusting system of the satellite's transmitter, with the Iridium system as an example.     

Radar Imaging Based on Iterative Algorithms

It has long been realized that the problem of radar imaging is a special case of image reconstruction in which the data are incomplete and noisy. In other fields, iterative reconstruction algorithms have been used successfully to improve the image quality. This paper studies the application of iterative algorithms in radar imaging. A discrete model is first derived, and the iterative algorithms are then adapted to radar imaging. Although such algorithms are usually time consuming, this paper shows that, if the algorithms are appropriately simplified, it is possible to realize them even in real time. The efficiency of iterative algorithms is shown through computer simulations.     

Face Recognition Based on Support Vector Machine and Nearest Neighbor Classifier

Support vector machine (SVM), as a novel approach in pattern recognition, has demonstrated a success in face detection and face recognition. In this paper, a face recognition approach based on the SVM classifier with the nearest neighbor classifier (NNC) is proposed. The principal component analysis (PCA) is used to reduce the dimension and extract features. Then one-against-all stratedy is used to train the SVM classifiers. At the testing stage, we propose an al-