PQchaoliu

Frequency domain filtering written in matlab

to sparsify an image

lazarus-freepascal manual

本程序可以实现求函数的信噪比及函数的均方差(The variance of this program can realize the function of SNR and function)

This function uses SRP-PHAT with Stochastic Region Contraction (SRC) global-optimization algorithm to locate a single source using a frame of data and M microphones.

这是我在网上找到的，里面比较详细的介绍了QPSK的仿真。(This is what I found on the Internet, where a more detailed introduction to the QPSK simulation.)

非线性函数拟合——利用遗传算法来优化BP神经网络，利用神经网络开发包实现图形化的神经网络模拟，使得神经网络原理更直观，可用于教学，也可用于实际神经网络训练，内附详细帮助文件。(Non-linear function fitting- using genetic algorithms to optimize the BP neural network, neural network development package to implement graphical neural network simulation, neural network theory makes more intuitive, can be used for teaching, but also can be used for the actual neural network training, in with detailed help files.)

理发店的服务过程仿真 一个理发店有两位服务员A和B顾客随机地到达该理发店,每分钟有一个顾客到达和没有顾客到达的概率均是1/2 , 其中60 的顾客理发仅用5分钟,另外40 的顾客用8分钟 . 试对前10分钟的情况进行仿真。(Service process simulation of a barber shop barber shop attendant A and B, there are two customers arrive at the barber shop randomly, every minute a customer arrives and there is no probability that the customer arrives are 1/2, where only 60 of the customers Barber five minutes, another 40 of customers with 8 minutes. trial for the first 10 minutes of the simulation.)

说明：  MATLAB有关画波的图和画拿窥视特图的方法(MATLAB paintings wave of the map and painting with the spy Chart Method)

Breiman的bagging算法，是bootstrap aggregating的缩写，是最早的Ensemble算法之一，它也是最直接容易实现，又有着另人惊讶的好效果的算法之一。(Breiman’s bagging, short for bootstrap aggregating, is one of the earliest ensemble based algorithms.)