netlibfiles

cuda5 and matlab code for Gaussian filtering and parallel image processing code, we hope to help

该代码为排队论工具.用于MM1,MG1等模型. (code for the queuing theory tools. For MM1, genotoxicity and other models.)

LDA知识的讲解，浅显易懂，便于学习，还有对LDA模型的建立的说明以运用(LDA knowledge to explain, easy to understand, easy to learn, as well as the establishment of LDA model description to use)

基于matlab 模拟仿真FDTD算法对印刷电路板表面的传输特性(Based on MATLAB simulation FDTD algorithm on the surface of the printed circuit board transmission characteristics)

在github上下载的回声消除程序，有文档和代码，代码有MATLAB的和stm32的，可以借鉴参考下(Refer to the following on github download echo cancellation procedures, documentation and code, the code has MATLAB and stm32 can learn)

syms x g=exp(x*sin(x)) t=taylor(g,12,2) xd = 1:0.05:3 yd = subs(g,x,xd) ezplot(t, [1,3]) hold on plot(xd, yd, r-. ) title( Taylor approximation vs. actual function ) legend( Taylor , Function )(syms x g = exp (x* sin (x)) t = taylor (g, 12,2) xd = 1:0.05:3 yd = subs (g, x, xd) ezplot (t, [1 , 3]) hold on plot (xd, yd, ' r-.' ) title (' Taylor approximation vs. actual function' ) legend (' Taylor' , ' Function' ))

计算mie散射相关参数，根据颗粒粒径 ，入射光波长 ，颗粒折射率，介质折射率，计算不同角度下散射光强，不同粒径下的消光系数。(Calculate the mie scattering related parameters, calculate the scattered light intensity at different angles and the extinction coefficient at different particle sizes according to particle size, incident light wavelength, particle refractive index, and medium refractive index.)

噪声信号中正弦信号的现代法频谱分析，在不同周期不同长度和不同信噪比下的结果(Sinusoidal signal in noise spectrum analysis of modern law, in different periods of different lengths and different signal to noise ratio results)

该程序详细说明了MATLAB7.1与VC++6.0混合编程的方法，主要是VC++调用MATLABm函数编译后的动态数据链接库，并且提供了实际的例子，按照该例子就能完成初步的混合编程(The program details MATLAB7.1 VC++6.0 mixed programming, mainly compiled the VC++ call MATLABm function of the dynamic data link library, and provides practical examples can be done in accordance with the example of the initial mix of programming)

基于BP神经网络的字符识别算法源代码，包括网络仅值训练方法，训练是通 过调用34个字符文件夹，识别率达到99.8 。(BP neural network-based character recognition algorithm source code, including the value of the network only training methods, training is by calling the 34-character file folders, the recognition rate of 99.8 .)