cdtw

fonction non lineaire

说明：  BP_Adaboost模型即把BP神经网络作为弱分类器，反复训练BP神经网络预测样本输出，通过Adaboost算法得到多个BP神经网络弱分类器组成的强分类器，利用此方法设计出强分类器。(The BP_Adaboost model uses the BP neural network as a weak classifier, repeatedly trains the BP neural network to predict the sample output, and uses the Adaboost algorithm to obtain a strong classifier composed of multiple BP neural network weak classifiers. This method is used to design a strong classifier.)

连续信号（可以自定义的函数）的FFT效果图，初学者学习的例程，不错(Continuous signal (can custom functions) of the FFT renderings, for beginners to learn the routine, good)

一种改进的分水岭分割算法 ，效果很不错的哦(Improved watershed segmentation results are good)

rlseq.m 均衡算法 用RLS算法实现(rlseq.m equalization algorithm using RLS algorithm)

Rayleigh fading with + BER Calculation for Independent Gaussian random variables with zero mean and unit variance

最大似然（ML）准则和最大后验概率（MAP）准则Matlab仿真(Maximum Likelihood (ML) criteria and maximum a posteriori probability (MAP) criteria Matlab simulation )

nsga2源码下载。。。。。。。。。。。。。。。。。。。。。(nsga2 code)

基于matlab的buck电路闭环pid控制，仿真效果理想。(Matlab-based closed-loop pid buck control circuit, the ideal simulation results.)

用基于matlab语言实现的bp神经网络算法(Matlab-based language implementation of bp neural network algorithm)