Pseudo-Stereo-Mixture

LMMSE在信道均衡中的应用。设信道响应已知。采用线性模型下的线性MMSE估计方法，根据观测信号估计发送信号。(Application LMMSE channel equalization. set channel response is known. Linear MMSE estimation under linear model, the transmitted signal is estimated based on the observed signal.)

code till segmentation

bearing fault matlab codes

梯度下降法是最早最简单，也是最为常用的最优化方法。梯度下降法实现简单，当目标函数是凸函数时，梯度下降法的解是全局解。一般情况下，其解不保证是全局最优解，梯度下降法的速度也未必是最快的。梯度下降法的优化思想是用当前位置负梯度方向作为搜索方向，因为该方向为当前位置的最快下降方向，所以也被称为是”最速下降法“。最速下降法越接近目标值，步长越小，前进越慢。(The gradient descent method is the earliest and most simple and most commonly used optimization method. The gradient descent method is simple to realize. When the objective function is a convex function, the solution of the gradient descent method is a global solution. In general, the solution is not guaranteed to be the global optimal solution, and the gradient descent method is not necessarily the fastest. The optimization idea of gradient descent method is to use the current position negative gradient direction as the search direction, because the direction is the fastest descending direction of the current position, so it is also called the steepest descent method. The faster the slowest descent approach is closer to the target, the smaller the step, the slower the progress.)

对如下可靠性问题进行仿真 现在有两种方案：方案一是损坏一个更换一个；方案二是一旦有轴承损坏就全部更换．试通过计算机仿真对这两种方案做出评价．(The following issues on the reliability of simulation now there are two programs: a program to replace a damaged one program Second, once all the replacement of damaged bearings. Examination by computer simulation to assess the two programs.)

用于心电信号的处理，有软硬阈值滤波，FIR及IIR滤波，还有空域相关滤波！需要的可下载(the filter for ecg!)

基于mex的matlab-fortran混合编程，详细的步骤和样例(Mex-based hybrid of matlab-fortran programming, detailed steps and sample)

simulink仿真的s函数例程，实现了一个简单的线性系统(s function of the simulink simulation routines to implement a simple linear system)

计算高速摄影机拍摄的两幅图片中物体的移动速度(Calculation speed camera captured two images of objects in the speed)

说明：  IRIS数据 用于聚类方法 主要用于模式识别、图像分割等(IRIS data for clustering method used pattern recognition, image segmentation, etc.)