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image-processing-Matlab
常用的一些图像处理Matlab源代码,比如数字图像的傅立叶变换，二维离散余弦变换的图像压缩，采用灰度变换的方法增强图像的对比度，直方图均匀化，图像滤波等(Some commonly used image processing Matlab source code, such as digital image Fourier transform two-dimensional discrete cosine transform image compression method using gray transform image contrast enhancement, histogram equalization, image filtering, etc.)
- 2014-09-28 11:26:44下载
- 积分：1
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mil_std_188_Rx_6_audio_in
its a matlab code files
- 2011-12-27 13:36:31下载
- 积分：1
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adp
说明： 该算法表明了经济学领域内生变量和控制变量的关系(The algorithm shows the relationship between endogenous variables and control variables in the field of economics.)
- 2019-04-18 10:31:45下载
- 积分：1
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Kalman-GPS
读取RINEX星历文件，观测文件，存储为数组形式，matlab环境下(Read RINEX ephemeris file, observation file)
- 2011-05-11 17:47:37下载
- 积分：1
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foc
交流异步电机矢量控制matlab仿真模型.(AC induction motor vector control matlab simulation model.)
- 2021-04-08 21:09:00下载
- 积分：1
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qpskmatlabsimulink(20131121215511)
用simulic编写了生成信号 很详细很好用呢(singal simulic)
- 2013-11-21 22:26:46下载
- 积分：1
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rgb-code
NOTE: This function modifies the BUTTONDOWNFCN of axes in the input list,
and their children. However, it will not modify any object whose
buttondownfcn is nonempty.
- 2014-01-07 18:31:06下载
- 积分：1
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Building-GUIs-with-MatLab
Building GUIS with Matlab
- 2012-11-30 18:53:48下载
- 积分：1
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mat1
Learn Matlabmat1.rar
Learn Matlabmat1.rar
Learn Matlabmat1.rar
- 2009-10-07 14:54:18下载
- 积分：1
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EMD-Toolbox
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.)
- 2010-11-08 16:19:14下载
- 积分：1
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