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A Matlab IFFT implementation using matlab itself

这是通信系统仿真的第七章的例题的仿真程序代码！挺好的，希望对大家有用！(Communication System Simulation This is the seventh chapter of the simulation program code examples! Very good, and I hope useful for everyone!)

本程序为一种基于凸优化的OFDM信道估计算法，平滑SLO算法是求解稀疏线性方程组的一种迭代解法，本程序将其应用于OFDM信道估计，取得了较好的信号估计精度以及速度(This procedure is a convex optimization of OFDM-based channel estimation algorithm, smoothing algorithm SLO is sparse system of linear equations to solve an iterative method, the procedure will be applied to OFDM channel estimation, the signal to obtain a better estimation accuracy and speed)

图像灰度梯度求解 matlab程序 可用于求解图像的灰度梯度值，多幅图像之间比较清晰度等。(Solving matlab image gray gradient gray gradient program can be used to solve the values ​ ​ of the image, more clarity between multiple images.)

The demand of high data rate services has been increasing very rapidly and there is no slowdown in sight. We know that the data transmission includes both wired and wireless medium. Often, these services require very reliable data transmission over very harsh environment. Most of these transmission systems experience much degradation such as large attenuation, noise, multipath, interference, time variance, nonlinearities and must meet the finite constraints like power limitation and cost factor. One physical layer technique that has gained a lot of popularities due to its robustness in dealing with these impairments is multi-carrier modulation technique. In multi-carrier modulation, the most commonly used technique is Orthogonal Frequency Division Multiplexing (OFDM)

本文章采用的是MATLAB环境下的源程序，是关于图像特征提取方面的(This article is used in MATLAB environment of the source, is about the image feature extraction in)

this code finds out the array factor of ULA

基于SVR的非线性系统故障诊断，假设非线性系统在1.4s~1.6s期间发生系统参数变化故障(SVR-based fault diagnosis of nonlinear systems, assuming nonlinear systems in 1.4s ~ 1.6s failure occurred during the parameter variations)

Direct torque control based neural netwoek

PSCAD学习资料，包括PSCAD实验指导、与Matlab接口实现以及PSCAD的相关交流与应用。(PSCAD learning materials, including the PSCAD experimental guidance, and Matlab interface and the related exchange and application of PSCAD.)