EDFTools

数值分析的牛顿迭代算法数值分析的牛顿迭代算法(matlab )

使用vc++编写实现的简单的kalman滤波器,仿真作业(Use vc++ Realize the preparation of simple kalman filter, simulation operation)

深度学习matlab工具箱,包括深度deep belief nets,stacked autoencoder,convolutional neural nets等网络。(Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.)

Model Reference Adaptive Control

BP neural netowrk regression

新颖的BP神经网络，加入了遗传算法改进，并且样本数可调(Novel BP neural network, adding a genetic algorithm to improve, and the number of samples is adjustable)

ClassCompareTest extends AbstractComparatorTest Source Code for Andriod.

说明：  EEMD：总体经验模态分解，一种改进的EMD方法。(Total empirical mode decomposition is an Improved EMD method.)

基于MATLAB的通信系统仿真应用详解，这是第2卷。(MATLAB-based simulation of communication systems explain that this is volume 2.)

该代码为盲源分离中的相对牛顿法，收敛性能稳定，分离效果优越，值得借鉴。(The code for the blind source separation of the relative Newton method, convergence properties of stability and separation efficiency is superior, is worth learning from.)