matlab-gui2[1]

二级倒立摆 s函数 matlab 固高科技公司(S function matlab inverted pendulum solid high-tech companies)

功率控制函数代码描述细节。博弈论的应用。。。。。。。。。。。(Power Control)

51单片机经典教程，适用与初学者，能学到很多东西(51 single-chip classic tutorial for beginners and can learn a lot)

说明：  清空环境变量 网络结构建立 遗传算法参数初始化 迭代求解最佳初始阀值和权值 遗传算法结果分析 把最优初始阀值权值赋予网络预测 BP网络训练 BP网络预测 清空环境变量(Empty the environment variable Established network structure Genetic algorithm parameter initialization Iterative Solution optimum initial thresholds and weights Analysis of Genetic Algorithms The optimal initial threshold value is assigned to the right network prediction BP network training BP network prediction Empty the environment variable)

说明：  通过matlab模拟蚁群寻找最优路线方法，来应用到数据的局部最优和全局最优的算法上来(Through MATLAB simulation ant colony to find the optimal route method, to apply to the data of local optimal and global optimal algorithm.)

MATLAB实现gray到RGB的转化，包括图像文件及M文件(MATLAB realization of gray to RGB conversion, including image files and M files)

用BP网络完成函数的逼近 P网络通常有一个或多个隐层，隐层中的神经元均采用sigmoid型变换函数，输出层的神经元采用纯线性变换函数。本例应用一个两层BP网络来完成函数逼近的任务，其中隐层的神经元个数是5。(network to be completed by BP function approximation P networks usually have one or more hidden layer, a hidden layer neurons are used sigmoid-type transformation function, the output layer neurons using pure linear transformation function. The application of a two-tier cases BP network function approximation to complete the task, hidden layer neuron number is 5.)

In order to reduce the volume and cost of the Z-source network, we need to eliminate the low-frequency current ripple by using a constant shoot-through duty ratio

第2章 MATLAB基本语法 第3章 Matlab开发环境和工具 Matlab的其他函数库(Chapter 2 MATLAB syntax in Chapter 3 of the basic development environment and tools for Matlab other Matlab library)

Adaptive filtering constitutes one of the core technologies in digital signal processing and finds numerous application areas in science as well as in industry. Adaptive filtering techniques are used in a wide range of applications, including echo cancellation, adaptive equalization, adaptive noise cancellation, and adaptive beamforming. Acoustic echo cancellation is a common occurrence in today’s telecommunication systems. The signal interference caused by acoustic echo is distracting to users and causes a reduction in the quality of the communication. This paper focuses on the use of LMS and NLMS algorithms to reduce this unwanted echo, thus increasing communication quality.