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IEEE上关于人耳图像识别的论文：使用改进的非负矩阵分解的人耳识别(Ear Recognition using Improved Non-Negative Matrix Factorization )

1.原始信号A，通过信道受噪声污染后的信号q，然后分别经过均衡器ZF（MMSE）得到信号U，可以画出U的分布图 2.分别应用LMS,SATO,CMA算法得到U。（其中包括最佳延迟、均方误差的计算）所有结果均以图像形式显示。(1. The original signal A, subject to noise pollution through the channel after the signal q, and then through the equalizer, respectively ZF (MMSE) receive the signal U, the distribution of U can draw Figure 2. Were applied LMS, SATO, CMA algorithm to be U. (Including the best delay, mean square error terms) all the results are displayed in graphic form.)

An introductory example on how to use MPI, the problem solved is a naive parallel matrix multiplication.

说明：  直流微电网故障仿真模型，还不错，控制模块可以参考下。并网方式可学习。(The fault simulation model of the DC microgrid is not bad, and the control module can be referred to. You can learn how to connect to the network.)

说明：  基于matlab的一些三维场景建模代码，个人学习使用。(Some 3D scene modeling code based on MATLAB, personal learning to use.)

Program to simulate Rayleigh fading using a p-th order autoregressive model

mean and covariance of samples estimation

matlab图像处理工具，包含了很多常用和不常用的处理方法(matlab image processing tool, containing a number of commonly used and are not commonly used approach)

matlab/simulink simpowersystems (Three-phase_asynchronous_motor_reversal)

卫星轨道仿真，源码，C++，定位等信息GEllipticalOrbit.cpp登文件(Satellite orbit simulation )