Srm_dtc

这里面有两个程序，两个都是采用4QAM调制。不过个人觉得第一个更容易懂，因为写的很有条理。我改的那个程序就是根据这个来的。 不过在这里面有个问题就是信道系数只能是由高到低，大家可以试试，改成[0.227 0.46 0.688 0.46 0.227]这个是老师给我的仿真中常用的信道系数，这个成为归一化信道，就是系数平方和为1. 第二个程序没有涉及到信道系数，但是这个程序当中，在128个子载波中，前后有32个空载波，这个在OFDM中也是经常用的，这样可以降低误码率。 (And there are two programs, two are based on 4QAM modulation. But personally feel that the first is easier, because the writing is organized. I changed that procedure is based on the past. However, there is a problem in that there is only channel coefficients from high to low, we can try and change into [0.227 0.46 0.688 0.46 0.227] This is the teacher gave me the simulation channel coefficient commonly used, this became normalized channel, is coefficient of the square and is 1. The second program is not related to channel coefficients, but this program which, in the 128 sub-carriers, the before and after the 32 air carriers, the in OFDM is also often used, which can reduce the error rate.)

用matlab编写的十进制的遗传算法程序，用来实现实数编码遗传算法。()

Calculate the power system Unit Commitment problem, intelligent algorithm, the convergence effect, iterative stable

使用时域有限差分法进行电磁波演，得到模型(FDTD to build a model)

说明：  该工具包提供了一个用于通过算法、预训练模型和应用程序来设计和实现深度神经网络的框架。您可以使用卷积神经网络（ConvNet、CNN）和长短期记忆 (LSTM) 网络对图像、时序和文本数据执行分类和回归。应用程序和绘图可帮助您可视化激活值、编辑网络架构和监控训练进度。(The toolbox provides a framework for designing and implementing deep neural networks through algorithms, pre training models and applications. You can use convolutional neural networks (convnet, CNN) and long and short term memory (LSTM) networks to perform classification and regression on image, temporal, and text data. Applications and graphics help you visualize activation values, edit network architecture, and monitor training progress.)

DTW-语音识别，是在matlab中做的，比较方便快捷了。(DTW-speech recognition, in matlab to do, the more convenient of the.)

一个简单的支持向量机（SVM） matlab实现(a simple support vector machine realize used of matlab)

这是一篇博士论文，中国知网上的，现在拿出来和大家分享(The Research Of Infeasible Interior Point Algorithms For Optimization)

说明：  基于改进粒子群优化算法的非线性摄像机标定 Non2Linear Camera Calibration Based on an Imp roved PSO Algorit hm 王德超,涂亚庆(Improved particle swarm optimization based on nonlinear calibration Non2Linear Camera Calibration Based on an Imp roved PSO Algorit hm Wang Chao, Tu Ya Qing)

the moramlizationof image in needed in various image processing applications here this code doing the same.