Non-linear-FEA

kalman滤波实验，目标轨迹跟踪，很好用的例子，供大家学习用(kalman filtering experiments, the target trajectory tracking, with a good example for all to learn)

有关交互多模型matlab实现算法，仿真场景可以自己设计(Related to interactive multi-model algorithm matlab, simulation scenarios can be designed)

说明：  LBG算法 简单的一个描述LBG算法的例子(LBG algorithm, a simple example to describe LBG algorithm)

初学者最想看到的简单的源码，实现最基本的功能！希望适合所有新人！(Beginners most want to see the simple source to achieve the most basic function! New hope for all!)

滤波器的源码， 用于稀疏傅里叶变换的滤波器的源代码，方法简单易行。(Source filter for sparse Fourier transform filter source code, the method is simple.)

空气动力学高超声速 简单飞行器 气动力计算 (Aerodynamics of hypersonic aircraft aerodynamic calculations)

此文件包含着EEMD的能量特征分量的计算程序和EEMD之后进行各个IMF的KL散度指的计算程序。(This file contains the energy characteristic component EEMD computational procedures and after each EEMD KL divergence refers to the IMF s calculation program.)

MATLAB数字图像处理灰度均匀化gray uniformization(gray uniformization)

针对基于小波变换的红外图像增强方法视觉效果不够理想的缺点, 提出了一种基于平稳小波变换和Retinex 的红外图像增强方法, 利用Retinex 增强算法增强图像的视觉效果, 并改善其亮度均匀性。首先, 对红外图像经平稳小波变换后的最大尺度低频子带图像进行多尺度Retine x 增强 然后, 利用贝叶斯萎缩阈值法对高频子带图像进行阈值去噪, 并根据低频子带图像的局部对比度和模糊规则计算高频子带的增益系数, 从而得到增强后的高频子带图像 最后, 由低频子带图像和高频子带图像重构得到增强后的图像。针对大量图像进行了实验和增强效果的定性与定量评价, 并与双向直方图均衡法、二代小波变换法、Curvelet 变换法和多尺度Retinex法作了比较。结果表明, 所提出的方法增强了图像细节, 抑制了噪声, 并明显改善了图像的整体视觉效果。(As infrared image enhancement method based on wavelet transformation has the problem of unperfect visual effect , and Retinex enhancement algorithm can enhance visual effect of the image by improving brightness uniformity , amethod based on stationary wavelet transformation and Retinexis proposed.Firstly , the infrared image is decomposed into high-frequency detail and low-frequency approximation components at various resolutions, and the low frequency subband image of the largest scale is enhanced by multiscale Retinex algorithm.Then, the highfrequency subband images are denoised by Bayesian shrinkage method, and the gain coefficients of high-frequency subbands are available by calculating the local contrast of the enhanced low-frequency subband based on fuzzy rules to get the enhanced high-frequency subband images .Finally, the enhanced image is reconstructed by the low-frequency subband and high-frequency subbands .Experiments with qualitative and quantitative uation are carried ou)

matlab下的APF仿真 运行稳定有谐波分析(APF matlab simulation run under steady harmonic analysis)