matlab

说明：  OK算法的Matlab计算包，包含了验证和拟合的过程(OK computing package Matlab algorithms, including the process of validation and fitting)

该代码采用matlab和C混合编写，是采用随机梯度的方法训练线性分类器，它可用于数据、图像等的多类分类情况。参考论文：Good Practice in Large-Scale Learning for Image Classification(This a Stochastic Gradient Descent algorithm used to train linear multiclass classifiers. It is biased towards large classification problems (many classes, many examples, high dimensional data).)

用rayleighchan 函数仿真时要注意最后要做相位补偿（此问题是导师发现的） 程序步骤： ~产生随机序列 ~产生瑞利信道 ~调制 ~记忆信道特征 ~信号通过信道 ~相位补偿 ~加高斯噪声 ~解调 ~计算仿真误比特率 ~计算理论误比特率 ~不同颜色画出误比特率曲线对比(Function Simulation with rayleighchan last thing to note when the phase compensation (this issue is found mentor) program steps: ~ ~ generated random sequence modulation in Rayleigh Road, ~ ~ ~ memory characteristics of the signal channel by channel ~ ~ plus Gaussian noise phase compensation ~ ~ demodulation bit error rate calculation simulation of bit error rate calculation theory ~ ~ different colors to draw curves of bit error rate)

本程序利用MUSIC算法对角度进行二维估计，包括方位角和俯仰角，有一定的学习价值。。(This procedure using MUSIC algorithm to estimate the two-dimensional perspective, including azimuth and elevation, there is some learning value. .)

双闭环直流电动机，可以实现PID自动控制(Double closed loop DC motor, PID automatic control)

大学数学实验-清华出版社-姜启源-第2章例题源代码(Mathematics Experiment- Tsinghua University- Chapter 2 Example)

convolution code for beginers in the field of communication

QPSO算法,不会跑出定义域，依据一篇综述写的代码。(QPSO algorithm will not run out of the domain, based on a review to write code.)

Non-linear control system application

说明：  本目录主要包括：文档和两个源代码。 其中一个源代码是识别程序的，另一个是一个矩阵类库的，书里面也使用过，所以一并附上。 因为已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行\\Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。 当然读者也可以自行用训练样本训练网络，不过要特别注意训练样本的选择，否则可能造成识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下，训练样本数目尽量多。 ( This directory includes: documentation and two source code. One of the source code is to identify the procedure, the other is a matrix class library, the book which is also used, so be attached. Because it has saved the trained network weights, so the first use of identification procedures, you can directly run \ \ Release directory of the executable files, and then tested on the images directory to read pictures, identification. Of course, readers are free to use the training samples to train the network, but pay special attention to training samples, otherwise it may cause very low recognition rate. Training sample selection principle is that as far as possible, representative, in the long training time Buzhi Yu s case, the number of training samples as much as possible. )