4-Profile-Storage

core material for challan mnit

Matlab的GUI教程，教初学者快捷方便地学习GUI的使用编程方法。(Matlab GUI tutorials, teach beginners quick and convenient to learn the use of GUI programming method. )

Real world problems often present multiple, frequently conflicting, objectives. The research for optimal solutions of multi-objective problems can be achieved through means of genetic algorithms, which are inspired by the natural process of evolution: an initial population of solutions is randomly generated, then pairs of solutions are selected and combined in order to create new solutions slightly different the initial solutions. The fittest solutions are kept in the population and are used to generate new solutions

包括各种先进pid控制的matlab源码(Include a variety of advanced pid control matlab source)

基于物体三维形貌测量的傅里叶变换测量轮廓术及相关精度的计算。(Based on object three-dimensional topography measurement of Fourier transform profilometry measurement and the calculation of the relative accuracy.)

这是高压直流输电部分的仿真文件，背靠背系统的(This is part of the HVDC simulation files back to back system)

voice processing MATLAB toolbox

基于高斯混合模型，经由一种高效率的EM-MAP算法，解决图像超分辨率重建问题(A general framework for solving image inverse problems is introduced in this paper. The approach is based on Gaussian mixture models, estimated via a computationally efficient MAP-EM algorithm.)

关于半导体激光器 弱反馈情况下的自混合干涉(Semiconductor lasers weak feedback self-mixing interference )

利用matlab对随机过程课程的仿真 1、利用matlab绘制随机过程的谱密度G_x (ω)=2αβ/(β^2+ω^2 ) (α、β为正数)的图像。 2、绘制白噪声的功率谱密度函数G_x (ω)=N/2和自相关函数R_N (τ)=N/2 δ(τ)的图像。 3、分析低通白噪声和带通白噪声的功率谱密度函数和自相关函数的性质并举例同时绘制其图像。 (1, drawn using a random process matlab spectral density G_x (ω) = 2αβ/(β ^ 2+ ω ^ 2) (α, β positive) image. 2 for the white noise power spectral density function G_x (ω) = N/2 and the autocorrelation function R_N (τ) = N/2 δ (τ) of the image. 3, the analysis of low-pass white noise and band-pass white noise power spectral density function and autocorrelation function of the nature and the examples at the same time to draw its graphics.)