DeepMVS-master

LBM使用D2Q9模型，模拟流体在多孔介质中的渗流(LBM to use D2Q9 model, simulation of fluid in porous media flow.)

说明：  建立关联程序的例子。本程序演示把 .bar 文件与 NotePad 建立关联(establish procedures related examples. The demonstration put procedures. Bar documents associated with the establishment of NotePad)

复旦大学自动控制理论matlab基础第三讲，关于matlab的知识(Matlab automatic control theory based Fudan University Lecture, on the knowledge of matlab)

维纳滤波器是基于最小平方的最优滤波器，有广泛的使用，用于改变信号，提高分辨率(Wiener filter is based on the least squares optimal filter, widely used for the signal changes to improve the resolution)

histogram 2d-Neural_Network-pca

An Introduction to Cyclostationary Noise by Joel Phillips and Ken Kundert

svm_c 分类源码 用于svm的分类编程同svm_nu 相近(svm classification svm_c source for the classification of programming with similar svm_nu)

计算一维光子晶体透射率的程序, 可以手动输入任意序列, 程序只针对两种介质组成的序列.(One-dimensional photonic crystal transmission process, you can manually enter any sequence, the program only for sequences composed of two media.)

matlab code for image

lingjian.m-----蒙特卡罗方法 lingjian.m使用零件初始值，用蒙特卡罗方法算出总费用。其中使用了自己编制的正态分布随机数发生器产生正态分布随机数。lingjian.m是对蒙特卡罗方法的一次练习。 accyouhua为标定值的函数，而lingjian不是一个函数，在其中已给出了一组标定值的值。 退火确定标定值/unitanneal()----模拟退火 连续型多个变量组合优化问题 这是对模拟退火方法的一次练习，结果证明模拟退火确实是一个行之有效的方法。 当参数选择较好时（一般也伴随着运行时间的加长），模拟退火的结果较好，然而用MATLAB的FMIMCON()一般可达到更高的精度。(lingjian.m---- Monte Carlo method. 氀椀渀最樀椀愀渀.m Part initial value, using the Monte Carlo method to calculate the total cost. The preparation of their own normal distribution random number generator to generate normally distributed random numbers. lingjian.m is the first practice of the Monte Carlo method. accyouhua calibration value the function lingjian not a function, which gives the value of a set of calibration values. Annealing to determine the calibrated value/unitanneal ()---- Simulated Annealing 吀栀攀 continuous multiple variables combinatorial optimization problems 吀栀椀猀 is an exercise of the simulated annealing method, the results show that the simulated annealing is an effective method. 圀栀攀渀 the parameter selection is better (generally accompanied by a longer running time), simulated annealing results, however using MATLAB FMIMCON () generally achieve higher accuracy.)