The-BP-neural-network

OFDM仿真程序MATLAB 接收端采用的算法和程序流程与发送端发送的OFDM符号的帧结构有关系。具体的帧结构，以及定时估计，频偏估计，剩余误差跟踪的算法可参考算法说明文档(MATLAB simulation program OFDM receiver algorithm and procedures used in processes and the sending end to send the frame structure of OFDM symbols are. Concrete frame structure, as well as the timing estimation, frequency offset estimation, the remaining error tracking algorithm algorithm can refer to documentation)

对矩阵的奇异值分解，信号的解卷积，信号的调制 (matrix singular value decomposition，deconvolution，modulation)

人工势能避障算法凸形障碍物 matlab 仿真(Matlab simulation of convex obstacle based on artificial potential energy obstacle avoidance algorithm)

这个是全部的matlab下的时频分布在故障诊断中的运用的代码(This is all the Matlab under the time-frequency distribution in fault diagnosis on the use of code)

介绍了如何在taskflow之间传递参数以及如何获取taskflow的返回值(Introduce how to post param to taskflow )

The latest generation of high-end video cards off er considerable computing power using their 100–200 on-card processors, 0.3–1.0+ GB of RAM, and fast inter-processor communications. One promising application of this Graphics Processing Unit (GPU) computing capability is through Matlab and Matlab mex functions. With a properly developed mex function, the user-friendly Matlab interface can be used to perform behind-the-scenes parallel computations on the GPU. (The latest generation of high-end video cards offer considerable computing power using their 100-200 on-card processors, 0.3-1.0+ GB of RAM, and fast inter-processor communications. One promising application of this Graphics Processing Unit (GPU) computing capability is through Matlab and Matlab mex functions. With a properly developed mex function, the user-friendly Matlab interface can be used to perform behind-the-scenes parallel computations on the GPU.)

说明：  对cstr进行模型建立，并进行线性化，求出其状态方程和阶跃响应(Model the cstr and linearize it to find its state equation and step response.)

This is a thesis paper on iris recognition. it will be very helpful in guyz who are doin projects on biometric authentication

fix frame model of induction motor mdl file complete run 100

The purpose of this tutorial is to gain familiarity with MATLAB’s Image Processing Toolbox. This tutorial does not contain all of the functions available in MATLAB. It is very useful to go to HelpMATLAB Help in the MATLAB window if you have any questions not answered by this tutorial. Many of the examples in this tutorial are modified versions of MATLAB’s help examples. The help tool is especially useful in image processing applications, since there are numerous filter examples.