MATLABjiaoan

说明：  关于匹配滤波的一个很好的外文文档，对了解匹配滤波很有帮助~~~(On matched filtering of a good foreign language documents)

有色噪声的处理方面的源代码有色噪声的处理方面的源代码(Colored noise processing aspects of the source code)

高维的基于模拟粒子群算法 论文源码 试验过可以用(Based on high-dimensional simulation of particle swarm paper source)

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.

该算法为基于克隆选择原理的人工免疫算法。算法有三部分，第一部分为传统的遗传算法，第二部分CSA算法，两方法对一些函数求极值，可比较各自的特点。(The algorithm is based on the principle of artificial immune clonal selection algorithm. Algorithm has three parts, the first part of the traditional genetic algorithm, the second part of the CSA algorithm, two methods for some function extreme, can compare their characteristics.)

一维MUSIC算法的Matlab程序，可以仿真，很好用(One-dimensional MUSIC algorithm in Matlab)

MULTIPHYSICS 中与MATLAB的友好链接。可从MATLAB中直接导入(MULTIPHYSICS in the friendly links and MATLAB. Can be imported directly from the MATLAB)

说明：  This code is used for trajectory tracking using PF.

Finding the Nearest Orthonormal Matrix In some appoaches to photogrammetric problems (perhaps inspired by projective geometry), an estimate M of an orthonormal matrix R representing rotation is recovered. It is then desired to find the “nearest’’ orthonormal matrix. While this two step approach — first finding a “best fit’’ matrix without enforcing orthonormality,and then finding the nearest orthonormal matrix — is not to be recommended, it may be of interest to find a solution to this problem nevertheless.

一个二维直线运动的卡尔曼滤波器，比较简单。(A two-dimensional linear motion of the kalman filter, is relatively simple.)