tes_doppler_norm

基于机器学习方法的脑电信号自动分类研究 基于机器学习方法的脑电信号自动分类研究(Automatic classification based on machine learning method of eeg signals)

一些自适应信号处理的算法，部分实现了追踪测速迭代松弛算法，小波包分析提取振动信号中的特征频率。( Some adaptive signal processing algorithms, Partially achieved tracking speed iterative relaxation algorithm, Wavelet packet analysis to extract vibration signal characteristic frequency.)

线性调频信号的脉冲压缩，合成孔径雷达（SAR）的第一个大作业的程序(the compression of chirp signal)

matlab中用梯度下降法进行线性回归，是机器学习的例程。很好很实用。(machine learning.linear regression and gradient descent way.)

说明：  多个基于MATLAB约束最优化问题源码。程序具有通用性，供相关人员参考(Number of constrained optimization problems based on MATLAB source code. Process is universal, for future study)

direct torque documentation

混沌免疫原理与应用文章合集，包括混沌和免疫如何结合。(Articls for chaos immune)

很多神经网络的应用程序：如感知器，自适应线性元件，BP网络，霍普菲尔德网络，竞争网络...适合初学者。(Many neural network applications: such as sensor, adaptive linear element, BP network, Hopfield networks, competitive networks ... suitable for beginners.)

在多径信号下的采用toeplitz来进行矩阵重构，对信号到达角进行估计(Using Toeplitz matrix reconstruction, DOA estimation under multipath signals )

给定全息图恢复波前强度图，通过GS算法实现(The algorithm for restoring the wavefront intensity of holograms is realized by GS algorithm.)