MySimulate

正弦电压PWM逆变器的仿真，使用了自己搭建的PWM产生模块，带阻感负载。(Sinusoidal voltage PWM inverter simulation, using its own built PWM generation module, with a sense of the load resistance.)

TDOA定位算法(TDOA position)

matlab的用户界面实例，模拟电话发音，很有意思，可以试一试(Matlab example of the user interface, analog telephone pronunciation, very interesting, may try)

quadrature amplitude modulation

用来正演超临界角情况下的地震反射特征，用来分析地震反射的AVO特征等领域。(Forward simulation of wide-angle Reflection uesd in AVO analysis. )

高斯金字塔 优化的版本，可用，效率比较高(Optimized version of the Gaussian pyramid, available, more efficient)

x0 = ones(2,2) Make a starting guess at the solution options = optimset( Display , off ) Turn off Display [x,Fval,exitflag] = fsolve(@myfun,x0,options) The solution is x = -0.1291 0.8602 1.2903 1.1612 Fval = 1.0e-009 * -0.1619 0.0776 0.1161 -0.0469 exitflag = 1 and the residual is close to zero. sum(sum(Fval.*Fval)) ans = 4.7915e-020

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.

说明：  关于matlab和RS方面的文献，对于做遥感应用很有益，比较好。(Matlab and RS on the literature, for remote sensing applications is very useful to do, better.)

一种将高频强调滤波同直方图均值化结合的图像增强方法，是图像边缘更加清晰。(A high frequency emphasis the filtering mean histogram of the combination of image enhancement methods, the edges of the image is more clear.)