FFT

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

Image restoration using Weiner Filter

无线传感器定位算法的matlab仿真RSSI APIT DV_hop等(wsn location algorithm)

C programming for arduino

是一个利用神经分类来达到人俩识别的matlab程序，很好用！(Is a classification of the use of nerve to achieve the people were identified matlab procedures, very good use!)

drools activiti intergration

awgn model channel programme matlab

一个高斯热液羽流模型，利用粒子随机行走方法编写的一个程序，简单实用(A Gaussian model of hydrothermal plume, using random walk particle method of preparation of a process, simple and practical)

说明：  基于matlab的摄像头监控程序，功能较强(camera monitor matlab)

this is a well data number 3 for RPH sample, stored in las format