kalman121

说明：  MATLAB噪声模型计算。半导体器件设计用。(MATLAB noise model. Semiconductor device design.)

二端口网络，matlab微波实验仿真技术(Two-port network)

两种驾驶员模型进行对比分析，最终验证本驾驶员模型的优势(Comparing the two pilot model, finally verify the driver model)

This file is very important for student ....

说明：  每个传感器具有一定的范围和精度，而且周围环境可能对它们产生干扰。即单传感器只能提供部分不精确的信息，从而不能排除对外界环境描述的歧义性。鉴于各传感器性能上的差异表现出的互补性，如果综合各个传感器的信息，就能得到比单一传感器所能提供的更准确可靠的信息。简言之，与单一传感器相比，多传感器数据融合由于信息的冗余性和互补性存在很多方面的优势。 多传感器融合(Each sensor has a certain range and accuracy, and the surrounding environment may interfere with them. That is to say, a single sensor can only provide some inaccurate information, so it can not rule out the ambiguity of the description of the external environment. In view of the complementarity of the differences in the performance of each sensor, if we synthesize the information of each sensor, we can get more accurate and reliable information than a single sensor can provide. In short, compared with a single sensor, multi-sensor data fusion has many advantages due to the redundancy and complementarity of information.)

利用logGabor函数分别提取待匹配图和模板图的相位信息作为匹配基元，进行互相关运算，寻找最佳匹配位置(Use to be extracted separately logGabor function map and template matching of the phase diagram as an information matching primitives to carry out cross-correlation calculation, find the best match position)

快速区域生长算法，已测试相当不错，欢迎感兴趣的达人们下载测试(Fast region growing algorithm has been tested pretty well, welcome to download the test of interest up to the people)

针对雷达组网的实际情况,通过对影响雷达网数据融合处理的几个关键问题进行分析,给出解决这些问题 的方法,通过仿真和实际雷达数据的实验,取得了好的效果。可应用于实际雷达网的数据融合工作中。 (Some key problems of radar network data fusion are analysised. A few practical methods solving these problems are presented for radar network. Basing on simulation and actual radar data, it is shown that the proposed methods are effective. These technologies can be used for actual application. )

matlab例子，用来计算bezier曲线(matlab example, used to calculate the Bezier curve)

这是一个ＤＴＩ（扩散张量图像）工具软件，对实现ＤＴＩ图像分析和开发有着重要的价值．(This is a DTI (diffusion tensor imaging) tools for achieving the DTI image analysis and development has an important value.)