物流配送路径优化学习

machine learning algorithm

一个有用的声学回声消除器的设计源码，还不错哦～(A useful acoustic echo cancellation design source, oh well ~)

说明：  本文利用模糊理论中的高斯隶属 度函数来获得模糊观测下具有概率特性的似然函数，并且由此似然函数得到每个传感器提供信息的可信度；再将各传感器的可 信度转化成基本概率赋值函数即mass 函数；最后利用证据理论对多传感器信息进行融合。对目标识别的仿真试验表明该方法获 得的结果比直接结果具有更高的精度和可靠性。(The method uses fuzzy theory in the Gaussian fuzzy membership function to obtain a probable characteristic under observation likelihood function，and the resulting likelihood function gets the credibility of the information provided by the sensors.Then the reliability of each sensor is changed to a mass function.Finally，multi-sensor information is combined by using evidence theory.Simulation of target recognition shows that the results obtained have higher accuracy and reliability.)

应用多目标遗传算法优化对PID参数进行多目标优化(Multiobjective genetic algorithm optimization of multi-objective optimization PID parameters)

Matlab_Simulink模型到C_C_代码的自动实现(Matlab_Simulink model to C_C_ code automatically)

调频立体声接收机模型 对相应的立体声解码过程进行建模和仿真。设左右声道的信号分别为1000Hz和2000Hz的单频测试信号。 (FM stereo receiver model for the corresponding stereo decoding process modeling and simulation. Set left and right channel signals were 1000Hz and 2000Hz single frequency test signal.)

Emd分解，通过峭度和相关系数选择IMF，进行信号重构，小波分解，小波包分解。(Emd decomposition, selecting IMF by kurtosis and correlation coefficient, signal reconstruction, wavelet decomposition, wavelet packet decomposition.)

principle componant analysis based face recognition

简单的神经网络学习规则赫布matlab代码。 这是不知情的初学者学生。它可应用于如简单的任务逻辑“和“，”或“，”不是“简单的图像和分类。 (Simple Matlab Code for Neural Network Hebb Learning Rule. It is good for NN beginners students. It can be applied for simple tasks e.g. Logic "and", "or", "not" and simple images classification.)

说明：  audio Task 2 by me and friends