OFDM_PAPR_reductn

本人自己写的一个关于阵列信号处理的算法程序。(I wrote it myself on the array signal processing algorithms procedures.)

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.)

MRF图像分割，通过Markov随机场（MRF）实现图像的分割(MRF image segmentation, image segmentation by Markov random fields (MRF))

说明：  针对光照不均匀条件下光伏阵列 P-V 输出特征呈现多波峰，传统算法无法摆脱局部最优值的缺点，该文提出了一种基于细菌觅食的优化算法，并首次应用于光伏阵列的最大功率点跟踪（MPPT）。(In order to solve the problem that the photovoltaic array P-V output characteristic presents multi peaks under the condition of uneven illumination, the traditional algorithm can not get rid of the local optimal value Based on the optimization algorithm of bacterial foraging, it is applied to the maximum power point tracking (MPPT) of photovoltaic array for the first time. The algorithm introduces the trend operation, which is used for the local optimization)

模型参考自适应程序。用于无速度传感器，做矢量控制(matlab)

适用于802.16d的无线信道模型的说明文档，是standford的sui信道模型(Applicable to the wireless channel model 802.16d documentation is standford of sui channel model)

Matlab仿真比较分析三种矩阵迹检测器的检测性能。(Matlab simulation and comparison of three kinds of matrix trace detection performance of detectors.)

Removing all variables, functions, and MEX-files from memory, leaving the workspace empty. clear all Deleting all figures whose handles are not hidden. close all Deleting all figures including those with hidden handles. close all hidden Clearing all input and output from the Command Window display giving us a clean screen. clc

This is matlab source of solenoid model. It is variable choice , and easy plot

mesh power flow& math