Unit_conversion

This code sus higher order technique to estimate the frequency of a modulated signal

经典的用matlab编写的ID3算法，仅供大家分享(classic with Matlab prepared by the ID3 algorithm, is for everyone to share!)

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.

说明：  灰色模型gm（1，1)的matlab代码(Grey Model gm (1,1) of the matlab code)

灰色ＰＩＤ控制matlab仿真程序：主要包括连续、离散系统(gray PID control Matlab simulation program : including continuous, discrete systems)

粒子群优化最小二乘支持向量机参数，可用于多分类(pso lssvm psolssvm)

二维路径规划问题的蚁群算法优化计算 运用dijkstra思想(Two-dimensional path planning based on ACO)

bisection methode..it s useful enjoy it.....

着压缩感知技术的发展,基于压缩感知的图像融合技术研究受到越来越多的重视。针对图像傅里叶变换系数特点,提出了一种双星采样模式下基于高低频重要性度量的压缩传感域图像融合算法。该算法首先通过双星采样模式获得测量值,然后计算高低频区域对应的重要性度量作为融合算子,并对测量进行加权融合,最后通过求解最小全变分优化问题重构融合图像。主客观实验结果表明,该算法优于其他基于傅里叶的方案。(With the development of compressive sensing, the compressive domain image fusion technology attracts more and more attention. In considering the DFT coefficient characteristics, a novel image fusion algorithm employing double-star sampling and salience measure of high-lowfrequency within compression domain is proposed.)

Basics of wavelet function