d_best_jidai

说明：  3GPP LTE中下行链路信道模型仿真代码(3GPP LTE downlink channel model in the simulation code)

基于压缩感知的图像分割，小波变换与OMP算法，最后由最大类间方差法作为分割手段(Compressed sensing image segmentation based on wavelet transform and OMP algorithm, and finally by the Otsu method as a means of dividing)

The plane stress analysis refers to the problems where the thickness of the structure is very small compared to other dimensions of the structure in the XY plane. The plane stress problem is a 2D problem. The stresses in the z direction are considered to be negligible,
 
0, the stress-strain compliance relationship for an isotropic material becomes,

建立了基于matlab语言的四位全加器仿真模型，通过了系统验证。(Matlab language is established based on four full adder simulation model, verified by the system.)

绘制四种常用低通模拟滤波器（贝赛尔滤波器，巴特沃斯滤波器，切比雪夫滤波器及椭圆滤波器）幅频特性曲线(Draw four commonly used low-pass analog filter (Bessel filter, Butterworth filter, Chebyshev filter and elliptic filter) amplitude-frequency characteristic curve)

利用Crank-Nicolson隐式差分格式求解抛物型偏微分方程，matlab程序代码(Crank-Nicolson implicit difference scheme)

代码里有很完整的注释和解释，ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块，利用自然梯度算法。( Code, there are very complete notes and explanations ofdm system simulation including 16qam modulation fft windowing modules plus cp, Use of natural gradient algorithm.)

里面有大量的Matlab的应用实例，可以给大家的学习带来帮助，它不仅适合初学者而且也可以提高大家的Matlab编程能力。(Which a large number of Matlab application example, can help to bring everyone to learn, not only for beginners but also can improve our ability to Matlab programming.)

地球物理大地电磁测深的正演代码，包含了有限差分、有限元等(magnetotelluric 2D forward finite element program)

聚类分析工具箱 亚历山大博士写的，用于聚类分析，功能比较全(Cluster Analysis and Cluster Ensemble Software ClusterPack is a collection of Matlab functions for cluster analysis. It consists of the three modules ClusterVisual, ClusterBasics, and ClusterEnsemble as described in the following. They are a selection out of my personal codebase for machine learning research. They contain general clustering algorithms as well as special algorithms developed in my research as indicated in the README files)