MATLABbiancheng

这部分是用MATLAB产生随机过程的一系列源代码.含产生高斯分布随机变量,多变量高斯过程样本的产生,高斯--马尔科夫过程的产生等等..分别运行了这些程序.希望对大家有用(This is partly a random process generated by MATLAB source code of the series. Containing random variables have a Gaussian distribution, multivariate Gaussian process for selecting the sample, Gaussian- Markov process and so on .. have to run the procedure separately . everyone would like to be useful)

说明：   用Hough变换进行曲线、直线等的参数提取(With the Hough transform curve, straight line extraction, etc.)

编程仿真连续小推力实现GTO到GEO的三阶段转移过程，其中推力器的推力大小为0.8N，轨道机动的起始点为GTO的远地点。GTO轨道的升交点赤经为0度，近地点角距为90度。 GTO轨道： ph:185km，ah：35786km，i：28.5°，GEO轨道：h：35786km，i：0°。 卫星质量为6600kg，从GTO到GEO，采用5000s的推力器。取地球半径为6378km，g取值为9.8m/s^2(The three stage transfer process from GTO to GEO is realized by simulation and continuous small thrust. The thrust of the thruster is 0.8N, and the starting point of orbital maneuver is the apogee of GTO. GTO orbit RAAN is 0 degrees, 90 degrees for the argument of perigee. GTO orbit: ph:185km, ah:35786km, i:28.5, GEO orbit: h:35786km, i:0. The mass of the satellite is 6600kg, from GTO to GEO, using the 5000S thruster. The radius of the earth is 6378km, and the value of G is 9.8m/s^2)

k-均值算法，主要进行在matlab中的程序实现，进行图像的分割处理(k-means algorithm, mainly for the program in the matlab implementation for image segmentation)

双线性系数变换子程序 《数字信号处理教程——MATLAB释义与实现》 双线性系数变换子程序(Bilinear coefficient transform subroutine " digital signal processing tutorial- MATLAB Interpretation and Implementation" bilinear coefficient transform subroutine)

主要介绍MATLAB中的GUI设计，从最基本的概念开始，通过实例学习，容易上手。(Introduces MATLAB' s GUI design, from the most basic concept began, through the examples of learning, easy to use.)

连续信号在各种方法下叠加噪声后的图像分析及simulink仿真模块(After continuous noise signal superimposed image analysis and simulink simulation module in a variety of ways)

一个关于秩和比的源代码，很有用的。快来试试吧！！(One on RSR source code, very useful)

说明：  image enhancement using neural network

说明：  引入具有平移不变性和良好的方向分析能力的双树复小波变换对源图像进行多尺度分解;然后对分解得到的各尺度的高频子带采用基于跨尺度的邻域空间频率的融合策略,最高层的低频子带采用基于改进的邻域熵的融合策略进行融合处理;最后对融合后的各个频带进行双树复小波逆变换,重构出融合图像(The dual tree complex wavelet transform with translation invariance and good direction analysis ability is introduced to decompose the source image in multi-scale; then the fusion strategy based on the cross-scale neighborhood space frequency is adopted for the high-frequency subband of each scale obtained by decomposition, and the fusion strategy based on the improved neighborhood entropy is adopted for the low-frequency subband of the highest level; finally, each frequency band after fusion is carried out Double tree complex wavelet inverse transform to reconstruct fusion image)