Matlabhanshu

用logistics法拟合数据，并达到预测的作用，数据文件未上传(Fitting with logistics data and forecasts to achieve the role of the data file did not upload)

规划问题，其中包含了规划问题的基本Matlab源程序，还有PPT的相关解释(Planning, which includes the planning of basic Matlab source code, as well as the relevant interpretation of PPT)

Matlab和C的混编，用于SAR图像去相干斑，将处理加性噪声的BM3D推广到SAR。(Functions for Matlab for the denoising of a SAR image corrupted by multiplicative speckle noise with the technique described in "A Nonlocal SAR Image Denoising Algorithm Based on LLMMSE Wavelet Shrinkage", written by S. Parrilli, M. Poderico, C.V. Angelino and L. Verdoliva)

利用BP神经网络实现三类物体的分类,包含MATLAB和C#两种实现。(Using BP neural network to classify three types of objects.)

fast marching method

Ford最短路算法实现，改进型算法，可以求带负权值的图(Ford shortest path algorithm)

代码图像以及matlab语言中函数的调用，保证运行结果(matlab )

matlab code differential Algebraic Equation

说明：  hand-written RBF neural network code

matlap file for SPWM