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使用一组陀螺实测数据为原始数据，通过时变卡尔曼滤波，得到两组输出滤波图(Use a gyroscope data as raw data, through the time-varying Kalman filtering, the final two output filter figures are obtained)

雷达信号处理中脉冲压缩算法的matlab例子程序()

It shows the basic shape of a Haemodynamic Response Function (HRF), how to convolve an HRF with a time-series of stimulus onsets in order to produce a predicted fMRI signal, and how to plot the results in Matlab. The program also shows what happens when closely-spaced stimuli produce HRFs which overlap in time and linearly sum.

MATLAB代码 有限元分析 8节点 4节点 3节点等参元程序 (MATLAB codes for finite element analysis)

图论最短路问题，应用弗洛伊德算法，非常非常的牛逼(Shortest path problem on graph theory, applications Floyd algorithm, very, very Niubi)

卡尔曼滤波器进行信道估计的一篇文章，适用于OFDM-MIMO系统。(Kalman filter for channel estimation in an article for OFDM-MIMO systems.)

说明：  摘要地层控制分析与设计问题 无人机（UAV）群系统实现时间。 研究了不同的地层。达到预定时间- 无人机的编队、编队协议各不相同。 首先是群系统，无人机的速度可能不同 当到达编队时。然后，基于共识的方法 用于处理时变信息的形成控制 无人机群系统的问题。必要和充分 无人机群系统实现时变的条件 提出了构造方案。(Abstract-formation control analysis and design problems for unmanned aerial vehicle (UAV) swarm systems to achieve time. varying formations are investigated. To achieve predefined time- varying formations, formation protocols are presented for UAV swarm systems first, where the velocities of UAVS can be different when achieving formations. Then, consensus-based approaches are applied to deal with the time-varyin formation control problems for UAV swarm systems. Necessary and sufficient conditions for UAV swarm systems to achieve time-varying formations are proposed.)

说明：  对三节点系统的状态估计程序，有详细注释。(Detailed comments are given on the state estimation program for three-node systems)

数字滤波器设计（冲击响应与双线性Z变换）(Digital Filter Design (impulse response and the bilinear Z transform))

说明：  Jacobian光滑化牛顿法,能运行实现，具有超线性收敛的光滑化牛顿算法.(Jacobian Smooth Newton Method)