digital_filtering

此文件包含三个MATLAB程序，用于对线性系统AR模型的权向量估计：Kalman滤波估计，RLS和LMS，均为较常用的估计方法，并附有相应的仿真图(There are three programs in this files:kalman,RLS and LMS to pridict the victors of linear systems . These three wawys are common and useful in signal processing)

图像处理，学习matlab的源代码，转自国外(image processing, study the source code of Matlab, decanted from abroad)

1维ESPRIT算法的实现，并对比不同SNR情况下的性能情况(The implementation 1-dimensional ESPRIT algorithm.)

各种流行学习算法的执行程序，有界面，功能强大(The implementation of a variety of popular learning algorithm procedures, interface and powerful)

matlab code of celp coder

在网友的提供的程序基础上，经过修改，反距离加权插值法可以使用的，里面有的联系方式，可以留言(On the basis of the program provided by netizens, after modification, the inverse distance weighted interpolation method can be used. Some of the contact information can be left a message.)

自适应信号处理 RLS算法 结合LMS算法 程序(RLS algorithm with adaptive signal processing, LMS algorithm)

Harmony Element Algorithm for function optimization with GUI

台球是一项比较流行的室内体育运动，朋友同学之间聚会常常也会选择打台球。这里利用MATLAB变了个简单的程序来模拟打台球的过程(Billiards is a popular indoor sport, gathering between friends, classmates often will choose to play a game of billiards. Becomes a simple program using MATLAB to simulate a game of billiards)

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.