corner

介绍小波的基本概念,并对图像进行压缩,消噪,增强,融合以及平滑处理.(introduced the basic concepts, as well as image compression, denoising, enhancement, integration and smooth handling.)

说明：  双层墙热流密度仿真报告算法分析和MATLAB编程实现(Double wall heat flux report algorithm analysis and MATLAB simulation programming)

说明：  里面有详细的反步法仿真的例子，共有9个实例。非常适合初学者使用。(There are detailed examples of backstepping simulation, a total of 9 examples. It is very suitable for beginners.)

说明：  满足互易性条件下的几种经典的极化检测算法的仿真，包括恒虚警仿真和ROC曲线 Pd_Pf是对两种目标的仿真（两种目标的极化散射矩阵不同）(Simulation of several classical polarization detection algorithms under the condition of reciprocity, including CFAR simulation and ROC curve. Pd_ Pf is the simulation of two kinds of targets (the polarization scattering matrix of the two targets is different))

WPSNR: Weight Peak Signal to Noise Ratio

Matlab Calculator: Use Matlab GUI environment to make a simple calculator.

等腰三角波发生器，在simulink 中有的是锯齿波和三角波的现成模块，可是等腰三角波的就没有了，现提供给大家。(isosceles triangular wave generator, which in some Simulink ramp and triangular wave off-the-shelf modules, But isosceles triangle wave, there is no, it is available to everyone.)

一个小波降噪的源程序 自己编写的 可用 (A source wavelet noise reduction can be written in their own)

通过matlab的m文件对gps卫星信号进行模拟(Gps satellite signal simulation)

The fusion of images is the process of combining two or more images into a single image retaining important features from each of the images. A scheme for fusion of multi-resolution 2D gray level images based on wavelet transform is presented in this paper. If the images are not already registered, a point-based registration, using affine transformation is performed prior to fusion. The images to be fused are first decomposed into sub images with different frequency and then information fusion is performed using these images under the proposed gradient and relative smoothness criterion. Finally these sub images are reconstructed into the result image with plentiful information. A quantitative measure of the degree of fusion is estimated by cross-correlation coefficient and comparison with some of the existing wavelet transform based image fusion techniques is carried out.