遗传算法

matlab实现的卫星轨道模拟，利用卫星轨道根数参量，通过求解开普勒方程求解卫星轨道模型(matlab implementation of satellite orbit simulation, the number of satellite orbit parameters, by solving the Kepler equation model of satellite orbit)

堆场外部集卡与集装箱的操作计算时间即等待时间(container matlab)

LTE with SUI channel

THE ZIP FILE CONTAINS ALL THE PROGRAMS OF A BOOK NEURAL NETWROK FOUNDATIONS BY SATISH KUMAR

基础线性分类器的检测用于分离超平面是单向垂直的。( TESTING THRESHOLD CLASSIFIER)

temperature controller code

This tutorial is designed to give the reader an understanding of Principal Components Analysis (PCA). PCA is a useful statistical technique that has found application in fields such as face recognition and image compression, and is a common technique for finding patterns in data of high dimension. Before getting to a description of PCA, this tutorial first introduces mathematical concepts that will be used in PCA. It covers standard deviation, covariance, eigenvectors and eigenvalues. This background knowledge is meant to make the PCA section very straightforward, but can be skipped if the concepts are already familiar.

Simple LBGK implementation.

数字信号自动调制识别,包含现有的如PSK、ASK、FSK信号等。将有记忆 信号(MSK信号)和无记忆信号一起考虑，提出了一种改进的数字信号自动识别方法。

按部州描述很详细，精确到每一行.按部州描述很详细，精确到每一行(an bu zhou shu ru hen xiang xi qing que dao mei yi hang hao dong xi a ge men ye shi mei zhe le ta ma de fei dei xie )