MRI-brain-segmentation-using-FCM

Surfer 对2011数学建模比赛图形的生成. 势必会火(Mathematical modeling of the 2011 Surfer game graphics generation. Is bound to fire)

matlab与admams联合控制的一个程序，这是一个实例，它在matlab中实现控制。(matlab joint with adams to control)

Makes an histogram based on numbers written in a file.

对图片中的各种几何图形进行识别，包括圆形，正方形，矩形，六边形，菱形等(On the picture to identify the various geometric shapes, including round, square, rectangular, hexagonal, diamond, etc.)

adaptive median filter

本程序适用于论文A Cyclic Weighted Median Method for L1 Low-Rank Matrix Factorization with Missing Entries(this code is for A Cyclic Weighted Median Method for L1 Low-Rank Matrix Factorization with Missing Entries)

盒计数法，差分盒计数法，毯子法，来实现分形维数的计算(Box counting method, differential box counting method and blanket method are used to calculate fractal dimension.)

this zip file contains m-file as functions to fingerprint enhancement.

Exercise on kalman filter with model AR, ARMA, ecc.

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.)