CHAPTER6

This is a collection of simulink blocks implementing simple nonlinear dynamical systems that generate attractors. Two types of general 3D simulink scopes (coded in the s-functions sfunxyz.m and sfunxyzd.m) are used to display in 3D, the evolution of the system during the simulation. Currently (March 2007), the featured systems are Lorenz, Van Der Pol, simple Lotka-Volterra, competitive N-D Lotka Volterra and Henon.

一篇很不错的基于数据驱动的风力发电的文章(A very good article is based on data-driven wind power)

car following lane changing with fuzzy method in simulink with matlab

Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器（强分类器）。 load clouds [test_targets, E] = lijsada_boost(patterns, targets, patterns, 100, Stumps ,[]) train_patterns 每列为一样本 train_targets 每列为一样本目标 100 :Number Of Iterations Stumps: Weak Learner Type Learner s parameters :[] adaboost +stumps testRightR = 0.7522(Adaboost is an iterative algorithm)

认知无线电中基于遗传算法的频谱分配的时间开销仿真实验(Cognitive radio spectrum allocation time overhead simulation-based Genetic Algorithm)

汉明码的编码与译码的简单小程序，大家可以借鉴，希望大家喜欢。(Hamming code for encoding and decoding of simple small program, we can learn from, hope you like.)

关于matlab入门的一本书籍，的确很好用，希望能对大家有帮助(matlab introduction)

c++与matlab混合编程，主成分分析示例(the current programs demonstrate the priciple component analysis with matlab and c plus plus)

微多普勒效应在雷达成像中的应用，并且将微多普勒的优点发挥到极致。同时在其中有很多的例子可以供学习。(Micro-Doppler effect in radar imaging applications, and advantages of the micro-Doppler to maximize. While there are a lot of examples for learning.)

A SIMPLE EXAMPLE OF PSO optimization