zf_mmse

利用matlab实现的二维回环拓扑随机游走模型相遇时间分析(Analysis of meeting time in 2D torus random walk with MATLAB)

matlab 2010a的安装方法，单机安装和局域网授权安装(matlab 2010a installation method, installation of stand-alone license installation and LAN)

图像的中值滤波，能够从键盘输入窗口大小，自适应滤波(Image median filtering can be entered from the keyboard window size, adaptive filtering)

误差系统同步，matlaB程序，混沌系统(Synchronization error system, matlaB procedures, chaotic systems)

extraction code for lungs

low energy adaptive clustering code in matlab for wireless sensor netwoks

磁悬浮小球Simulink仿真，PID控制，适合磁悬浮系统初级学习(Magnetic levitation ball Simulink simulation, PID control, suitable for the primary study of the magnetic levitation system)

Simple Linear Regression

在运动的位置叠加噪声。进行JPDA概率数据关联及kalman滤波。 两运动目标在x-y平面做匀速直线运动。初始位置是（4000,1200）（300,1500）速度分别是（200,200）（400,200）传感器对量目标进行位置状态量测。 采样间隔T=1,点数n=80.检测概率为1，正确量测落入跟踪内的概率为0.99，杂波均匀分布的密度为2个/km2由RAND函数产生在[0，1]上均匀分布的随机变量，跟踪门限为9.21。 (Superimposed noise in the position of the movement. JPDA probabilistic data association and kalman filtering. Two moving targets uniform linear motion in the xy plane. The initial position (4000,1200) (300,1500) speed (200,200) (400,200) position sensor on the amount of target state measurements. Sampling interval T = 1, points n = 80. Detection probability of correctly measured fall into the tracking probability 0.99, 2/km2 clutter uniform distribution of density generated by the RAND function [0,1] uniformly distributed random variables tracking threshold of 9.21.)

SparseBayesDemo,用于学习稀疏贝叶斯算法的工具，由RVM算法开发者Tipping开发("SparseBayes" is a package of Matlab functions designed to implement an efficient learning algorithm for "Sparse Bayesian" models.)