porous-media

matlab的一些编程练习及应用习题，包括M文件的编写及混合编程的初步学习(matlab programming exercises and application exercises, including a preliminary study of the M-file write and mixed programming)

My demonstration program is coded by MATLAB. For the program, some optimization at coding level and algorithm level are proposed to improve the performance of my fingerprint recognition system. These performance enhancements are shown by experiments conducted upon a variety of fingerprint images. Also, the experiments illustrate the key issues of fingerprint recognition that are consistent with what the available literatures say.

海面3维动态场景描述,改变程序中的风速大小就能得到不同海情的海面(Sea 3-D dynamic scene description, change the size of the program s speed could be different sea and the sea.)

输电线路双端不同步故障测距程序，matlab的程序，利用两端数据计算故障距离(Two terminal lines are not synchronized fault location procedure, matlab procedures, the use of both ends of the data to calculate the fault distance)

压缩感知信号恢复算法OMP和CoSaMP算法，常用的算法( x = CoSaMP( A, b, k ) uses the Compressive Sampling Matched Pursuit (CoSaMP) algorithm (see Needell and Tropp s 2008 paper http://arxiv.org/abs/0803.2392 ) to estimate the solution to the equation b = A*x (or b = A*x+ noise ) where there is prior information that x is sparse.z)

自适应滤波存在于信号处理、控制、图像处理等许多不同领域，它是一种智能更有针对性的滤波方法，通常用于去噪。(Adaptive filtering exists in many different fields such as signal processing, control, image processing and so on. It is an intelligent and more targeted filtering method, usually used for denoising.)

文字分割 ，进行基本的文字分割，为后继的步骤做工作(Text segmentation, a basic text segmentation, to do work for the subsequent steps)

对给定图像裁剪为384×384，对其分别进行傅立叶等变换 。。。——bianhuan.m(For a given image cut to 384 × 384, so its Fourier transform respectively. . .- Bianhuan. M)

load flow study programme using gauss siedal method for infinite iteration

一种噪声辅助数据分析方法,直线阵采用切比学夫加权控制主旁瓣比，可以得到很精确的幅值、频率、相位估计，结合PCA的尺度不变特征变换(SIFT)算法，鲁棒性好，性能优越，多抽样率信号处理。( A noise auxiliary data analysis method, Linear array using cut than learning laid upon the right control of the main sidelobe ratio, You can get a very accurate amplitude, frequency, phase estimation, Combined with PCA scale invariant feature transform (SIFT) algorithm, Robustness, superior performance, Multirate signal processing.)