Mie_S12

Mie散射算法的实现，用于Mie散射研究和激光探测(Mie scattering algorithm for the Mie scattering and laser detection)

加州大学的MATLAB人脸识别代码，采用了图像结构模型，可以很好地识别人脸(University of California MATLAB code for face recognition, using the image structure model, can be a good face recognition)

发射天线数位3，就收天线数为2.程序是两个接收天线的误码率仿真曲线。(Antenna digital 3, accept antenna number is 2. The program is two receiving antenna ber simulation curve. )

压缩感知StOMP算法,具有很好的恢复性能(Compression the perception StOMP algorithm, has good recovery performance)

EMD的Toolbox及使用方法 经验模态分解（Empirical Mode Decomposition, 简称EMD）是由美国NASA的黄锷博士提出的一种信号分析方法.它依据数据自身的时间尺度特征来进行信号分解, 无须预先设定任何基函数。这一点与建立在先验性的谐波基函数和小波基函数上的傅里叶分解与小波分解方法具有本质性的差别。正是由于这样的特点, EMD 方法在理论上可以应用于任何类型的信号的分解, 因而在处理非平稳及非线性数据上, 具有非常明显的优势。所以, EMD方法一经提出就在不同的工程领域得到了迅速有效的应用, 例如用在海洋、大气、天体观测资料与地震记录分析、机械故障诊断、密频动力系统的阻尼识别以及大型土木工程结构的模态参数识别方面。本工具书主要分以下几个部分：导论、非稳态信号介绍、一维时频信号分解、二维时频信号分解、时频影像信息提取等。 (Time frequency toolbox for use with MATLAB The Time-Frequency Toolbox has been mainly developed under the auspices of the French CNRS (Centre National de la Recherche Scientifique). It results from a research effort conducted within its Groupements de Recherche ”Traitement du Signal et Images” (O. Macchi) and ”Information, Signal et Images” (J.-M. Chassery). Parts of the Toolbox have also been developed at Rice University, when one of the authors (PG) was visiting the Department of Electrical and Computer Engineering, supported by NSF. Supporting institutions are gratefully acknowledged, as well as M. Guglielmi, M. Najim, R. Settineri, R.G. Baraniuk, M. Chausse, D. Roche, E. Chassande-Mottin, O. Michel and P. Abry for their help at different phases of the development.)

说明：  对图像进行阈值分割 格式转换 MATLAB源程序(Thresholding the image format conversion MATLAB source code)

此程序主要是基于希尔伯特-黄变换编写的MATLAB程序，用于搞科研的工作者们。(This program is mainly based on Hilbert- Huang Transform written MATLAB program for workers who engage in scientific research.)

关于matlab偏微分方程工具箱函数功能介绍，适用于matlab5.3以上版本。(on Matlab toolbox functions PDE functions, the matlab5.3 applicable to the above version.)

MIMO是移动4G的通信技术，但是受到地形和外部建筑的影响，收到的无线信号含有多径，产生严重的码间干扰，文章中阐述了用MMSE方法对信号进行均衡，很好得恢复MIMO信号(4G MIMO mobile communication technology, but by the terrain and outside the building, the wireless signal containing the received multipath produce serious inter-symbol interference, the article describes a method of using the MMSE equalization of the signal, the recovery was very good MIMO signal)

this file is an imlementation of PII scheme of PAPR reduction for MCMs Scheme