matlab_code_for_arma_spectrum_estimation

介绍了如何利用Matlab的代码生成功能将Simulink模型转换成目标语言模型的方法(The way that how to use the capability of Matlab in code generation to convert the mode1s constructed by Simulink to target language models is introduced)

This one is code for Random Forest algorithm,,,hav loaded face with FERET database,,,,,,,,,,,,,,,,,,,,,,,,,,,,

本程序特别适合于弹道计算等方面使用。比ODE45函数的速度加快了很多，且程序充分展示了Matlab向量运算的强大功能，以及编程的简单快捷。(The program is especially suitable for ballistic calculation such as the use of. Than the ODE45 function more quickly, and it shows the powerful function of Matlab vector operations, and programming is simple and quick.)

模拟一群鸟捕食的情景，从而达到优化目标函数的目的，这就是粒子群算法！起初在可行的空间中随机的产生一群粒子，然后让每个粒子开始在虚拟的空间中向四面八方飞翔，并且每个粒子都记下他们飞过的适应值（也就是目标优化函数）最高的点，而且整个粒子群有一个最高适应值个体，这样，粒子在飞翔的时候尽量朝向自己曾飞过的最好的点和集体的最好的点。最后达到收敛到近似最优点的目的。 (Simulation of a group of birds preying on the scene, so as to achieve the purpose of optimizing the objective function, that is, PSO! At first, where feasible, have a space in a group of random particles, and then let the beginning of each particle in a virtual space to fly in all directions, and each particle they have in mind over the fitness value (that is objective optimization function) the highest point , and the whole particle swarm adaptation has a maximum value of the individual, so that particles in the fly when he had flown as far as possible towards the best point and collective best point. Finally reaching the merits of convergence to approximate most purposes.)

matlab for student and teacher

实现bp-pid的仿真,基于s函数实现神经网络pid的仿真(Implement bp-pid simulation)

对七号信令MAP协议进行非常细致的讲解，大家有需要的可以下载参考(MAP signaling protocol on the 7th a very detailed explanation, you need to download the reference)

the model incon telecharge for interne

实现信号稀疏重构的l1算法程序代码，实现信号稀疏重构的l1算法程序代码，(the matlab code of the method l1 )

说明：  数字通信系统中采用基带传输和频带传输[ 1, 2 ] ,在抽样判决器之前,信号叠加了信道噪声. 本文利用 Matlab软件仿真[ 3, 4 ]分析了在判决器前叠加了高斯噪声后,信噪比与系统的误码率之间的关系.(Digital communication system using baseband transmission and band transmission [1, 2], in a sample before the decision device, the signal superimposed on the channel noise. In this paper, Matlab software simulation [3, 4] of the device in the sentence before the superposition of the Gaussian noise After the SNR and BER relationship.)