adaptive

四旋翼动力学仿真，参考来源北航动力学小组(quad-rotor dynamics simulation)

人工神经网络在Matlab上的仿真作业，自己亲自仿真出来的，希望大家下载！(Artificial Neural Network in Matlab simulation on the job, personally simulation out, hope everyone to download!)

详细介绍了拉盖尔自适应滤波器的实现过程和仿真。(Laguerre adaptive filter implementation process and simulation.)

卷积码编译码的快速实现算法，非常适合初学者迅速上手(Fast convolution code encoding and decoding algorithm is very suitable for beginners to get started quickly)

量子遗传算法MATLAB源代码，内含多个子文件，测试时运行main文件即可(Quantum Genetic Algorithm MATLAB source code that contains multiple sub-documents, tests can be run main document)

连接各路口节点，统计道路条数，求出各道路的长度，并求出所有顶点对间的最短距离(Connect each node of the intersection, statistics, road number, find the length of the road, and calculated the shortest distance between all vertices)

all the dtmf tones required to detect the tones of key pad

压缩感知算法工具箱，可以将压缩感知用于想用的任何算法。(The Compression Sensing Algorithm Toolbox allows you to use compression awareness for any algorithm you want to use.)

AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.(AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.)

列出求素数的程序，所谓素数就是只能被它的自身和1除尽的数(require a prime number)