MINGS1

说明：  ％％ Ant Colony Algorithm for QoS Multicast Routing ％ QoS组播路由蚁群算法( Ant Colony Algorithm for QoS Multicast Routing QoS Multicast Routing with Ant Colony Algorithm)

粒子群神经网络的预测编程实现,电力负荷预测本人已实现(Particle Swarm neural network predictive programming, I realized the power load forecast)

说明：  粒子滤波 MATLAB 程序 很简短 比较适合初学者(Particle Filter)

说明：  采用案例形式，以智能算法为主线，讲解了遗传算法、免疫算法、退火算法等多种最常用的智能算法的matlab实现，共30个案例，每一个案例都是使用智能算法解决问题的具体案例。所有案例均有理论、背景、程序实现代码和扩展阅读四个部分。(In the form of cases, taking the intelligent algorithm as the main line, this paper explains the matlab implementation of genetic algorithm, immune algorithm, annealing algorithm and other most commonly used intelligent algorithms, a total of 30 cases, each case is a specific case of using intelligent algorithm to solve the problem. All cases have four parts: theory, background, program implementation code and extended reading.)

sort(分类)用法 sort命令选项很长，下面仅介绍各种选项。 sort命令的一般格式为：(sort (Category) use sort command options is very long, only to introduce the following options. The general format of sort order:)

GNURadio下获取mimo的RSSI(Get mimo GNURadio under the RSSI)

说明：  该算法是经典的信噪比估计算法——最大似然估计算法，利用接收信道的先验概率密度函数，ML法能够很好的估计信号的信噪比(The algorithm is a classic signal to noise ratio estimation algorithm- maximum likelihood estimation algorithm, using the a priori receiver channel probability density function, ML method can be a very good signal to noise ratio is estimated)

matlab程序设计实例第二版 刘卫国 书中的原程序(the original program of the second edition of Matlab programming instance Liu Weiguo book)

对QPSK解调系统完美建模，其中通过改变码元速率和载波频率，再计算相应的环路滤波器的参数，即可实现多种QPSK模型的解调，且该模型可通过SYSTEM generator进行量化，从而生成ISE能直接使用的HDL代码。 matlab版本：2007a(Perfect for QPSK demodulation system modeling, which by changing the symbol rate and carrier frequency, and then calculate the corresponding parameters of the loop filter, QPSK demodulator can achieve a variety of models, and the model can be quantified by SYSTEM generator thereby generating ISE HDL code can be used directly. matlab version: 2007a)

无约束条件的最优控制，并且举例说明程序如何运行(Unconstrained optimal control, and examples)