matlab

matlab仿真实例 波束形成muisc代码 简单易懂的 (matlab simulation beamforming muisc code easy to understand)

Probability, Statistics, and Random Processes for Engineers, 4/E by Henry Stark & John Woods

风能功能实现，包括DFIG以及风电场的各种模型。主要由PSCAD软件搭建的模型。包括线路故障，低电压穿越，以及线路测距的各种模型。(The wind and a variety of functions, including DFIG model of wind farm. Mainly by the PSCAD software to build the model.Including the fault line, low voltage ride through, and a variety of models ranging in line.)

该算法利用演化博弈的思想进行多小区用户的资源分配，将小区重叠部分当做种群，种群中的用户进行演化博弈进行网络切换，基站为其分配子信道。本算法利用matlab进行仿真测试，仿真结果显示演化博弈能够达到稳定，提升系统吞吐量，在小区资源分配能够有一个很好的参考。不同于传统的资源分配方法，可以给出一个新思路(The algorithm uses the idea of evolutionary game to allocate resources for multi-cell users. The overlapping part of the cell is regarded as a population. The users in the population are handed over by evolutionary game, and the base station allocates subchannels to them. The algorithm is tested by matlab. The simulation results show that the evolutionary game can achieve stability, improve system throughput, and have a good reference for resource allocation in the cell. Different from the traditional method of resource allocation, a new idea can be given.)

说明：  Andrew Ng Cousera 机器学习课程神经网络手写字符识别，源代码以及说明文档(Andrew Ng Cousera 's Machine learning courses, Neural Network handwritten character recognition, source code and documentation)

说明：  泛化回归神经网络GRNN(generalized regression NN)应用实例，适合学习使用。(Generalized regression neural network GRNN (generalized regression NN) application examples for learning to use.)

this file is about feedback linearization method.

说明：  线性调频信号在雷达上的实现，文中给出了设计过程，具有很好的参考价值(LFM radar signals the realization of paper gives the design process, with a very good reference value)

上传一个多输入多输出的状态空间方程的预测控制程序，采样三输入双输出。仿真结果能得到期望的设定值.(Upload predictive control program a multi-input multi-output state space equations, three-input dual-output sampling. The simulation results can be obtained the desired setpoint.)

matlab针对一些给出的数据，进行模型构建并进行优化和处理，附带若干个例子(Matlab for some given data, model building and optimization and processing, with several examples)