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matlab里读取*.csv文件，进行数据处理(matlab Lane read*. csv file, for data processing)

一杯沸水冷却，圆柱体模型，底面半径0.05m，高0.1m，周围温度20度，初始水温100度 方程是四维输运方程（常数a^2=k/(c*p)，k是热传导系数0.6006焦/（米*秒*度）） 初始条件：t=0时水等于100度 边界条件：1.上下壁都是自由冷却，第三类边界条件，周围温度保持在20度（H=k/h,h取1） 2.杯壁绝热，第二类边界条件 (cup of boiling water cooling cylinder model, the bottom radius of 0.05m, 0.1m high. temperature around 20 degrees, initial temperature of 100 degrees equation is four-dimensional equations (a constant ^ 2 = k/(c* p), k is the thermal conductivity coefficient of 0.6006 Coke/(m** seconds degrees)) initial conditions : t = 0 to 100 degree water boundary conditions : 1. upper and lower walls are free cooling, the third boundary conditions, maintain the temperature around 20 degrees (H = k/h, h for 1) 2. Beibi insulation, the second boundary condition)

适用于水声通信系统中，程序中是在多径条件下， 均衡（LMS）(underwater acoustic communication)

my package is all about image processing of counting eggs using bwareaopen to remove noise and filtering of the image, also include how many eggs are there.

用标准粒子群算法对PID控制器参数进行整定优化，效果理想(The standard particle group algorithm of PID controller parameters optimization setting, ideal effect )

求解真实商业周期模型的Matlab程序。(Benchmark Real Business Cycle Model by Henson 1985.DynaMo (version 2.0) is the latest version of DynaMo. In particular, this version contains is a menu driven Windows stand-alone application with advanced graphical user interfaces which allows you to solve and analyze selected standard dynamic stochastic general equilibrium models.)

matlab程序实现均匀量化和非均匀量化的过程(matlab program to achieve a uniform quantization and non-uniform quantization process)

IMM滤波算法，使用多次，书写习惯良好！！！其中使用三个模型，匀速、匀加速和转弯！！！欢迎使用！！！

vc和matlab混合编程，在vc中调用matlab的函数进行计算和处理，本程序中调用了matlab图像处理函数打开图像并进行灰度处理(vc and matlab mixed programming, matlab function calls are calculated and processed in the vc, the program calls the matlab image processing function to open and grayscale image processing)

用于将不规则的数据分类 整理 实用性很强 适用于各种经济模型(Irregular data is used to sort out are very practical for a variety of economic models)