DWT_autoenh

国外网站下载压综感知粒子滤波跟踪源代码，用于学习压缩感知目标跟踪(Fully aware download foreign websites particle filter tracking pressure source code for learning compressed sensing target tracking)

BOOST中对于元编程中如何增加预编译的功能，并且增加了自定义输出错误码的功能。是学习元编程的很好的入门例子(BOOST how to add the function of pre compiled meta programming, and add custom output error code function. Is learning meta programming is a good example of entry)

PLSA，概率潜在语义算法,用于寻找变量之间的隐隐含变量，常用于图像标注、图像检索、计算机文本检索(PLSA, probabilistic latent semantic algorithm for finding faint containing variables between variables, commonly used in image annotation, image retri , computer text retri )

Implementation of Discrete fourier transform 2D (to images )

有关MATLAB基础教程的程序，希望对下载的人有所帮助。(based on MATLAB Guide to the procedure, hoping to download the help.)

基于Hopfield神经网络对符号进行识别。 根据符号点阵创建并训练网络，使网络达到稳定状态，用随机带噪声的符号测试训练的网络。 (Hopfield neural network based recognition of symbols. Lattice under the symbol creation and training network, the network reaches a steady state, the symbol of random noise test with the training network.)

寻找距离某一点最近的几个点，返回对应的点的位置及距离该点的距离(Find a few points closest to a given point , returns the corresponding location of the point and the distance from the point)

zero crossing rate for detecting zero crossing instants

这个程序是基于matlab的计算工件粗糙度的轮廓算术平均偏差Ra的值。里面有例程，还有详细的代码注释，希望对各位有所帮助，代码段还有不完善的地方，运行时间过长，会报错，但是逻辑是没有问题的，日后再改进大家可以基于此来书写新的程序，算是抛砖引玉吧(This procedure is based on the calculation of the value of matlab workpiece contour arithmetic average roughness Ra of deviation. There are routines, as well as detailed code comments, you would like to help, there are imperfections in the code segment, at a later improvement, but logic should be no problem, we can be written based on this new program, regarded puts it)

％ PURPOSE : Demonstrate the differences between the following filters on the same problem: ％ ％ 1) Extended Kalman Filter (EKF) ％ 2) Unscented Kalman Filter (UKF) ％ 3) Particle Filter (PF) ％ 4) PF with EKF proposal (PFEKF) ％ 5) PF with UKF proposal (PFUKF)( PURPOSE: Demonstrate the differences between the following filters on the same problem: 1) Extended Kalman Filter (EKF) 2) Unscented Kalman Filter (UKF) 3) Particle Filter (PF) 4) PF with EKF proposal ( PFEKF) 5) PF with UKF proposal (PFUKF))