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神经网络在matlab上的实现的源代码，本程序可用于分类问题(Matlab neural network to realize the source code, the procedure can be used for classification problems)

about Make Folder in Window C#

the pdf contains matlab code for dct fpr applying on images

实现火箭的垂直发射，并在重力作用下实现转弯。(Achieve vertical launch rocket and turn under the influence of gravity.)

some exemple of code matlab for some pictures

Series DC DC converter

利用LMS算法来进行盲信号分离处理的程序(Using the LMS algorithm for blind signal separation processing procedures)

有关于多项式/曲线拟合的一些例题代码，一共有7个*.m文件(There polynomial/curve fitting some examples of code, a total of 7*. M file)

Spectral methods of computational fluid dynamics flow of some of the overall stability of the phenomenon, Some adaptive signal processing algorithms, Has been successful debugging. M contains files can be directly run.

包括图像分析的四部分代码：matlab扩散和高斯函数，线性扩散，线性复扩散，非线性扩散。(It contains four parts： [1]MATLAB function:diffusion.m gauss.m [2]Linear diffusion Applying linear diffusion to images creating linear scale-space. MATLAB code: demo_lin.m Image: haifa1.bmp [3]Linear complex diffusion Applying linear complex diffusion creating Gaussian and Laplacian scale-spaces. MATLAB code: demo_cmplin.m [4]Nonlinear diffusions: Perona-Malik ["Anisotropic diffusion"] Catte et al. regularization of P-M Complex ramp-preserving diffusion Nonlinear edge preserving diffusions.The classical Perona-Malik process: the value of the diffusion coefficient is reduced near edges estimated by the first derivative. Best applied to step edges. A regularized version by Catte et al- the gradient estimation for controlling the process is smoothed by a Gaussian. Proved to be mathematically well-posed. Ramp preserving complex diffusion- best for ramp-type edges. Results are smoother with almost no staircasing effects. MATLAB code: demo_nldif.m Image: ct_scan.bmp)