radar

对matlab初学者很有帮助，尤其是simulink的爱好者。(helpful to beginners Matlab, Simulink is particularly fond.)

用Lax-Friedrichs及Courant-Isaacson-Rees格式求解一阶双曲型方程。(With the Lax-Friedrichs and the Courant-Isaacson-Rees format for solving first order hyperbolic equation.)

ica的算法，独立成分分析，剔除噪声，数据处理(ica algorithm, independent component analysis, eliminate noise, data processing)

后置滤波主要用来去除GSC处理后的信号中残余的噪声，改善了系统去噪的效果，得到了广泛的应用。(The post filter is mainly used to remove the residual noise in the signal after GSC processing and improve the effect of the system denoising, and has been widely used.)

MATLAB源码，preprocessing.m: preprocess the picture including:Wiener filter; meddle value filter, change a gray picture to a binary one and then get the skeleton. centralizing.m: input the source picture output the core point of the fingerprint. samfun.m: generate the sample pattern automatically, which is used to sample the fingerprint. gabor2d_sub: get gabor filter. varpic.m: calculate variance picture(MATLAB source, preprocessing.m : preprocess the picture including : Wiener filter; meddle value filter, change a gray picture to a binary one and then get the skeleton. centralizing.m : input the source picture output the core point o f the fingerprint. samfun.m : generate the sample pattern automatically, which is used to sample the fingerprint. gabor2 d_sub : get gabor filter. varpic.m : calculate variance picture)

说明：  用小波进行去噪，内部有软阈值去噪和硬阈值去噪(Using wavelet denoising, internal soft threshold denoising and hard threshold denoising)

求解小波波极大值，利用小波程序分解暂态量的数据，由此获得行波波头(Solving the maximum value of small wave)

说明：  基于PCA的人脸识别程序，可做学习用，是本人千辛万苦找到的，不错的！(PCA-based face recognition program, learning to do, is I worked extremely hard to find, good!)

我的毕业设计，用matlab仿真外弹道，在已有的外弹道模型下运用龙格库塔算法进行解算，最后做了相应的GUI界面！(I graduated from the design, simulation using matlab exterior ballistics, exterior ballistics in the existing model using Runge-Kutta algorithm solver, and finally made the corresponding GUI interface!)

这个matlab程序能够实现裁剪图像感兴趣区域，适合初学的。(The matlab program to achieve crop the image regions of interest for beginners.)