tag_Big_image

Etude de la modulation numérique MDA-4

利用遗传算法来进行图像分割的例子，非常好用。(the use of genetic algorithms for image segmentation example, very handy.)

harris角点检测。使用米粒图片可对角点的地方加入标记像素加以显示(harris corner detection)

基于matlab的SOFC的建模,用simulink的自带模块进行建模(modeling of SOFC)

可靠性——有效度最大原则选择维修最佳间隔期(Reliability- the principle of maximum validity choose the best maintenance interval)

独立成分分析（Independent Component Analysis, ICA）是近年来发展起来的一种有效的盲分离技术，最早是由法国学者Herault和Jutten于1986年提出。ICA方法的提出最初是用来解决“鸡尾酒会”问题，其过程可以归纳为，在源信号与传输通道参数均未知的情况下，仅根据源信号的统计特性，出现测信号恢复出源信号。ICA分析的关键在于根据一定的优化准则建立描述输出信号独立程度的优化判据，即目标函数，并设计相应的优化算法，寻求最优的分离矩阵，使得输出信号中各分量尽可能相互独立。采用ICA方法对信号进行盲分离时，可避免过多地受大能量噪声成分的影响，将部分小能量信号源识别出来。随着ICA技术的不断发展，目前ICA技术已经广泛应用于语音增强、音频识别、通信、医学信号处理、金融数据挖掘、图像消噪、数字水印、遥感等领域，并取得了一定的研究成果。(Independent Component Analysis (ICA) Component ini order, developed in recent years is a kind of effective separation technology, originally from French scholars Herault and Jutten in 1986. The proposed method is initially ICA to solve the "cocktail" problem, the process can be divided into, in the source signal transmission channels and in the case of unknown parameters according to the source of the signals, and the statistical characteristics of recovering the source signal. According to the analysis of the ICA key lies in the establishment of optimal criteria described the output signal of the independent, objective function optimization criterion, and the corresponding optimization algorithm, the optimum )

基于MATLAB/simulink搭建的应用于永磁同步电机（PMSM）的无传感器控制，主要是基于矢量控制，采用滑模转速和转子位置观测器取代传统的位置传感器，最终实现对PMSM的控制(The sensorless control based on MATLAB/simulink for permanent magnet synchronous motor (PMSM) is mainly based on vector control. Instead of the traditional position sensor, the sliding mode speed and rotor position observer are used to control the PMSM.)

Implement FFT and IFFT 16 point using Matlab Simulink.

this code of matlab finds the roots of equation by gauss elimination mthod

本程序计算金属包覆平板波导有效折射率的和损耗(The program calculates metal-coated slab waveguide effective refractive index and loss)