qiangdu.m

The complex method of Matlab program

matlab C编程函数速查手册，很有参考价值(matlab C Programming Functions Quick Reference, great reference value)

Weather Forecast - MATLAB_Code Weather Forecast - MATLAB_Code Weather Forecast - MATLAB_Code Weather Forecast - MATLAB_Code Weather Forecast - MATLAB_Code Weather Forecast - MATLAB_Code Weather Forecast - MATLAB_Code

光参量放大中信号波长对转换效率的影响matlab仿真代码(Optical parametric amplification of the signal wavelength conversion efficiency of matlab simulation code)

高斯信道下QPSK仿真程序，显示了QPSK在高斯信道下误码率和信噪比的关系。(Gaussian channel under QPSK simulation program shows the relationship between QPSK Gaussian channel BER and SNR.)

Gompertz s型增长曲线拟合模型，内含代码(Gompertz s growth curve fitting model, containing code)

说明：  简单的LEACH算法，适合新手学习，本人毕设用到的分簇路由算法(LEACH,Low Energy Adaptive Clustering Hierarchy)

说明：  珍藏版，可实现，新K均值聚类算法，分为如下几个步骤： 一、初始化聚类中心 1、根据具体问题，凭经验从样本集中选出C个比较合适的样本作为初始聚类中心。 2、用前C个样本作为初始聚类中心。 3、将全部样本随机地分成C类，计算每类的样本均值，将样本均值作为初始聚类中心。 二、初始聚类 1、按就近原则将样本归入各聚类中心所代表的类中。 2、取一样本，将其归入与其最近的聚类中心的那一类中，重新计算样本均值，更新聚类中心。然后取下一样本，重复操作，直至所有样本归入相应类中。 三、判断聚类是否合理 采用误差平方和准则函数判断聚类是否合理，不合理则修改分类。循环进行判断、修改直至达到算法终止条件。(NewK-means clustering algorithm ，Divided into the following several steps: A, initialize clustering center 1, according to the specific problems, from samples with experience selected C a more appropriate focus the sample as the initial clustering center. 2, with former C a sample as the initial clustering center. 3, will all samples randomly divided into C, calculate the sample mean, each the sample mean as the initial clustering center. Second, initial clustering 1, according to the sample into the nearest principle clustering center represents the class. 2, as this, take the its recent as clustering center of that category, recount the sample mean, update clustering center. And then taking off, as this, repeated operation until all samples into the corresponding class. Three, judge clustering is reasonable Adopt error squares principles function cluster analysis.after clustering whether reasonable, no reasonable criterion revisio)

extract zero cross rate features from an audio signal

该模型描述的是zeta变换器。控制方式为电感电流控制。分析在一组参数下的非线性现象，画出相图，时域图，观察从周期一到周期二最后进入混沌状态(The model describes the zeta converter. Control mode for inductance current control. Analysis in a group of parameters of the nonlinear phenomenon, draw the phase diagram, time domain chart, observation from cycle to cycle a second finally into chaotic state )