haar特征

Image pixels shuffling

说明：  OFDM通信系统的仿真。PDF文件，包括OFDM原理、程序讲解及运行结果。(OFDM communications system simulation. PDF documents, including OFDM principles, procedures and operations on the results.)

matlab to show stock situation

10個MATLAB處理運算方法,影像強化灰階二值等,看看(10 MATLAB method of processing algorithms, image enhanced gray-scale value of 2 and so on, to see)

Programing cable interface for NVP2010/2020

Scaling between two number ranges

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.)

时滞微分方程的简单介绍，可以解决种群模型的解。对于相关的也可以一起解决。(delay different equation)

matlab下的m次样条小波函数的构造程序以及波形显示(m matlab spline under the Construction of wavelet function and the waveform display program)

mimo ofdm simulation in matlab