Applied-Econometrics-using-MATLAB

数字图象处理系统，使用MATLAB的GUI模块，可实现图象的直方图均衡、灰度化、二值化、缩放、边缘检测、增加噪声、图像变换、去噪等功能。使用时请将fig文件和m文件和图像放在一个文件夹内(photo process system,use matlab)

包含Understanding and implementing the finite element method这本书，以及具体的matlab程序源码，该书是Mark S. Gockenbach 于2006完成出版的(Contain Understanding and implementing the finite element method this book, as well as specific matlab program source code, the book is Mark S. Gockenbach completed in 2006 and published in the)

最经典的语音降噪算法，MMSE-STSA 保证可用，记得好评(Shor time Spectral Amplitude Minimum Mean Square Error Method for Denoising noisy speech. based on log-Spectral MMSE Ephraim et al (1985))

一个简单的混沌程序，可以看到分叉的现象和振荡的现象。(A simple chaotic process, you can see the phenomenon of bifurcation and oscillation)

图象盲目反降晰与降晰核的辨识：迭代算法解teoplitz矩阵以及辨识核的阶数。(blindly anti-image is blurred and blurred nuclear Identification : Solution algorithm teoplitz nuclear matrix as well as identifying the order.)

UVW caluculation of wind vector In RADAR

MATLAB快速入门学习资料，讲解通俗易懂，易于初学者学习(Study on MATLAB)

Matlab教程PPT，Matlab概述与应用程序基础(Matlab PPT)

1、概述 2、Simulink入门 3、Simulink功能模块 4、创建Simulink模型 5、Simulink 仿真运行 6、Simulink中的S函数 7、自定义模块的模块化与封装(1 Overview 2, Simulink entry 3, Simulink function module 4, create Simulink model 5, Simulink simulation run 6, Simulink S-function in the 7, modular and custom module package)

The fusion of high-spectral/low-spatial resolution multispectral and low-spectral/high-spatial resolution panchromatic satellite images is a very useful technique in various applications of remote sensing. Recently, some studies showed that a wavelet-based image fusion method provides high quality spectral content in fused images. However, most wavelet-based methods yield fused results with spatial resolution that is less than that obtained via the Brovey, IHS, and PCA fusion methods. In this paper, we introduce a new method based on a curvelet transform, which represents edges better than wavelets. Since edges play a fundamental role in image representation, one effective means to enhance spatial resolution is to enhance the edges. The curvelet-based image fusion method provides richer information in the spatial and spectral domains simultaneously. We performed Landsat ETM+ image fusion and found that the proposed method provides optimum fusion results.