kalman

This paper presents experimental results of angle of arrival (AOA) estimation for sensor node localization of wireless networks, cell id, tdoa, etc

说明：  计算数据集间的Kl距离，用于评估数据间的分布一致性(calculate the the distance between two data set, uate the distribution between two data set)

sampling of rect signal

某市有一码头，每次仅容一辆船停泊装卸货，由于经常有船等候进港，部分人提出要扩建码头。经过调查历史资料发现，码头平均每月停船24艘，每艘船的停泊时间为24±20小时，相邻两艘船的到达时间间隔为30±15小时，如果一艘船因有船在港而等候1小时，其消耗成本为1000元。经预算，扩建码头大约需要1350万元，故市长决策如下：如果未来五年内停泊船只因等候的成本消耗总和超过扩建码头花费则扩建码头，否则，不予扩建。因此，希望你能够帮助市长做出决策。此问题已知到达的大概时间和大概停泊时间，对于此问题用概率统计的方法来做比较复杂，可用程序随机产生到达时间和停泊时间来模拟未来五年内船的停泊，多次模拟预测停泊情况，以做出决策(。-Problem in a city with a terminal expansion dock, each only allow a boat moored loading and unloading, as often there are waiting boat into port, some people proposed to expand pier. Terminal stopping 24 per month, per vessel berthing time of 24 ± 20 hours, the arrival of two adjacent vessels interval 30 ± 15 hours, if a ship due to boat in the harbor while waiting for one hour, and its consumption cost of 1,000 yuan. The budget of about 13.5 million yuan expansion dock, so the mayor decision as follows: If a ship is moored next five years, the cost of waiting more than the sum of consumption spending is expanding marina pier extension, otherwise, not expanded.)

球面矫正后的光栅生成，以校准点为中心，屏幕上任意距离的光栅点对应校准点的空间频率均保持一致(spherical-corrected grating with constant spatial-frequency )

对轴承故障振动信号的matlab小波分析程序，能完成对故障特征频率的提取(Of bearing fault vibration signals matlab wavelet analysis procedures, can finish on the fault characteristic frequency extraction)

图像融合，实现两幅图像的特征融合.该程序使用小波分解的方法先对两幅图像进行小波分解，然后进行多种方法对图像进行特征融合(Fusion, feature fusion of two images to achieve. The method uses wavelet decomposition of the two images before wavelet decomposition, and then features a variety of methods of image fusion)

这是一个卡尔曼滤波设计的matlab程序，并且给出说明。(This is a Kalman filter design matlab program, and give instructions.)

MATLAB中svm入门ppt介绍及程序实例介绍(Getting Started with MATLAB, and procedures of example to illustrate svm)

用于压缩感知的基追踪(BP)算法，可直接运行。(BP ALOGRITHM FOR COMPRESSIVE SENSING)