3-nodes-wifi

说明：  mimoOFDM diversity

说明：  pytorch-resnet实现分类的功能，好用。(Python RESNET realizes the function of classification, which is easy to use)

Tutorial on Network Programming with Python，python网络编程教程，简单介绍python语言环境下的网络编程api(Tutorial on Network Programming with Python, python network programming tutorial)

神经网络PID控制的阶跃响应，能够准确跟踪输入信号，各项指标满足要求。(the step response of Neural network PID control,Can accurately track the input signal, the indicators meet the requirements.)

解析cisco的skinny协议，根据信令自动保存udp语音包，实现cisco的VOIP系统监控。- Analyzes cisco the skinny agreement, the root according to what is believed makes automatically to preserve the udp pronunciation package, realizes the cisco VOIP system monitoring.

利用Matlab6.5神经网络工具箱，以一组动态冲击实验数据为例建立网络模型。实验数据共有13组，将其中对曲线形状有关键性影响的10组数据作为网络的训练数据，另外3组作为测试数据用以验证网络的预测性能。( Use Matlab6.5 Neural Network Toolbox, a dynamic impact test data, for example the establishment of the network model. Experimental data, a total of 13 groups, which have a crucial impact on the shape of the curve of 10 sets of data as the training data of the network, the other three groups as test data to verify the prediction performance of the network. )

Online SVR工具箱，实现对数据的在线回归和分类。(Online SVR toolbox to achieve the online data regression and classification.)

提出了一种新的基于非下采样轮廓波ＮＳＣＴ和脉冲耦合神经网络ＰＣＮＮ相结合的自适应图像融合方法．对已经配准的源图像进行ＮＳＣＴ分解得到低频子带系数和不同方向的高频子带系数．对ＮＳＣＴ分解的低频部分采用简单的加权平均融合规则(Proposed a new profile based on non-downsampling wave NSCT and PCNN PCNN combining adaptive image fusion method. Which has been the source image registration NSCT decomposition subband coefficients and the high frequency sub-band in different directions coefficient. NSCT decomposition for the low frequency part using a simple weighted average fusion rules)

我写的支持向量机做回归分析程序，下载后，设计样本数据，就可以用(I wrote to do the support vector machine regression analysis procedures, download, design sample data, you can use)

自己开发的原创 源代码：QT UTP socket 客户端服务端 ，使用IP端口 进行联机 发送任意字符系统。(Source code: QT UTP socket client server uses IP port to send arbitrary character system online.)