myCalculateMATLAB

一个自己编写的K近邻算法，是学习算法编写过程中最简单的一个哦，学习算法想自己学编程的可以看(A imagecut.rar K neighbor algorithm, is in the process of learning algorithm to write the most simple a oh, learning algorithm to learn programming can see )

用MATLAB实现gold序列的子函数，可在主函数中调用，生成2^n-1长度的gold序列。(use MATLAB to make out gold sequence，which obtained 2^n-1 data.)

说明：  这是MATLAB智能算法30个案例分析（第2版）的code部分，内容详实，有兴趣学习基于matlab只能优化算法的可以参考，里面主要有遗传算法、粒子群算法、模拟退化算法等的演示。(This is the code part of the 30 case analysis (second edition) of MATLAB intelligent algorithms. The content is detailed. If you are interested in learning based on matlab, you can only optimize the algorithm. You can refer to it. There are demonstrations of genetic algorithm, particle swarm algorithm, simulation degradation algorithm, etc.)

这是matlabdaima,用来计算RBF输出值很有效(This is matlabdaima, used to calculate the RBF output is valid)

matlab simulink 小电流中性点不接地，相间短路故障暂态仿真(nutural point not ground， phase short cut)

关于FFT的一个例子，Short time FFT with octave smooth by Matthes(An example of FFT on, Short time FFT with octave smoothby Matthes)

短时傅立叶变换与魏格纳威尔分部相结合的时频分析算法以及自适应短时傅立叶变换( U77ED u65F6 u5085 u7ACB u53F6 u53D8 u6362 u4E0E u9B4F u683C u7EB3 u5A01 u5C14 u5206 u90E8 u76F8 u7ED3 u5408 u7684 u65F6 u9891 u5206 u6790 u7B97 u6CD5 u4EE5 u53CA u81EA u9002 u5E94 u77ED u65F6 u5085 u7ACB u53F6 u53D8 u6362)

小波分析的盲信号处理方法，有完成的程序，波形，及输出结果，适合初学者。(Wavelet analysis of blind signal processing method, and a complete program, waveform, and output, suitable for beginners.)

基于matlab的面向对象的信号处理类库。主要应用于音频、语音信号的一些处理。内含简单的使用说明，将其添加到matlab搜索路径即可使用。(Matlab-based object-oriented signal processing class library. Mainly used in audio, voice signals in a number of treatment. Contains simple instructions to add it to matlab search path to use.)

指数平滑法是对时间序列进行预测常用的方法之一,其理论基础是趋势外延，即未来一定时期内事物在数量上的演变特征不脱离过去的发展趋势,预测值是以前所有观测值的加权和,且对不同的数据给予不同的权数,越近期数据给予越大的权数,越远期的数据给予越小的权数。(Exponential smoothing method is commonly used to predict the time series one of the ways, the theoretical basis of the trend of the extension, that is, a certain period of time what the next evolution in the number of characteristics are not out of the development trend of the past to predict the value of all previous observations is the weighted and, on different data and different weights given to more recent data to give greater weights, the more long-term data to give the smaller weights.)