test

实现小波包能量分解（6层分解），且易于参考从而编写出小波能量分解。(Implementation of wavelet packet energy decomposition (decomposition of 6-layer), and easy-to-reference to the preparation of a wavelet decomposition of energy.)

用周期法和自相关函数法实现经典谱估计，用Yule Walker 方程实现现代功率谱估计(Realization of classical spectral estimation by cycle method and autocorrelation function method. Using Yule Walker equation to realize modern power spectrum estimation)

FASTICA代码，用于脑电信号分析，有实例。(FASTICA CODE，used for EEG signal analysis，EXAMPLE)

电磁波时域有限差分法，对于使用matlab应用fdtd方法模拟一些简单物理问题讲解很详细(Electromagnetic finite difference time domain method for simulation using matlab application fdtd explain some simple physics problem in great detail)

全能MATLAB 可以运行多种功能，十分方便，界面清晰(Similarity measure and topology evolution of foreign exchange markets using dynamic time warping method: Evidence from minimal spanning tree)

本文件详细描述了如何利用matlab去检测图片中含有的直线元素，利用hough变换。(This document describes in detail how to use matlab to detect images containing linear elements using hough transform.)

稀疏低秩的动态MRI成像代码，基于CPU的matlab代码版本，有代码加速优化处理(k-t SLR: Accelerated dynamic MRI using low rank and sparse penalties （CPU version: MATLAB codes）)

波前曲扭和幅度变化对阵列测向中相干源分辨的影响(Twisted and curved wavefront amplitude variation to distinguish the impact of coherent source direction finding in an array)

说明：  k均值聚类算法（k-means clustering algorithm）是一种迭代求解的聚类分析算法，其步骤是，预将数据分为K组，则随机选取K个对象作为初始的聚类中心，然后计算每个对象与各个种子聚类中心之间的距离，把每个对象分配给距离它最近的聚类中心。(The k-means clustering algorithm is an iteratively solved clustering algorithm in which the data is pre-divided into K groups, the K objects are randomly selected as the initial clustering center, and then the distance between each object and the seed clustering center is calculated, and each object is assigned to the clustering center closest to it.)

simulink的入门资料，老师上课讲的课件，较易懂，适用于初学者(simulink introductory information, the teacher talked about class courseware, more easy to understand for beginners)