matlab

独立成分分析( I C A) 是一项把混合信号分解成具有统计独立性成分的新技术 。I C A近年已在生物医 域的信号分离中展示 了很好的应用前景 。 我们比较系统地介绍了 I C A的基本原理 、 主要算法 、 应用和 究的发展方向，旨在进一步推动有关的理论与应用研究工作。 (Independent Component Analysis (ICA) is a decomposition of the mixed-signal components into a statistical independence of the new technologies. In recent years, ICA has been in bio-medical domain signal separation show a very good application prospects. We systematically introduced the basic principle of ICA, the main algorithms, applications and the development direction of research aimed at further promoting the application of the theory and research.)

介绍10M，100M网线做法的，随便看看，还是有点用的。(Introduction 10M, 100M net-line approach, casual look, or a little useful.)

编写了一种代数重建算法的投影系数计算程序，可用于物体的三维恢复计算。(The projection coefficient of the algebraic reconstruction technique was developed.)

最大功率点跟踪仿真模型，采用扰动观察法效果理想(Maximum Power Point Tracking Simulation Model)

and this for chapter 4, chapter 3 just describe some theories.

Student Information Application

CSS documents for beeginner

滤波器与伪彩色变换， 1。一个通用的高通、低通、带通和带阻滤波器函数 2。又分别实现理想、巴特沃思和指数等滤波形式 3。伪彩色处理 内附设计文档。(Filter and pseudo-color transformation, 1. A common high-pass, low pass, band pass and band stop filter function 2. Respectively realize the ideal, Butterworth and index filtering form 3. Pseudo-color handle enclosing the design documents.)

说明：  极其实用的matlab小程序 初学者必备(Very useful little program for beginners essential matlab)

open-loop buck converter which is operate in CCM.