xiti

独立成分分析（ICA）是最近开发的方法，它的目标是找到一种nongaussian等数据的线性表示 该元件是统计独立的或尽可能独立。应用包括信号特征提取与分离数据的基本结构。 在本文中，我们提出的基本理论和ICA的应用，以及我们对这个问题的近期工作。(Independent component analysis (ICA) is a recently developed method in which the goal is to find a linear representation of nongaussian data so that the components are statistically independent, or as independent as possible. Such a representation seems to capture the essential structure of the data in many applications, including feature extraction and signal separation. In this paper, we present the basic theory and applications of ICA, and our recent work on the subject)

使用MATLAB编程仿真分析ADC的SNR(ADC SNR analysis)

signal processing to enveloping signal, FFT transform and calculate charge

field oriented control of dc motor

说明：  模糊C均值聚类的MATLAB程序，有详细中文注释，对初学者很有帮助。(Fuzzy C-means clustering of the MATLAB program, a detailed English notes, very helpful for beginners.)

说明：  这是matlab编写的射线网格法追踪，用于追踪波的射线轨迹(This is prepared matlab ray tracing grid method, used to track wave ray tracing)

a switching for pv cell inverter based with boost conveter

说明：  实现MMC的三相闭环控制和尖锐脉冲去除源代码(Realization of three-phase closed-loop control of MMC and source code removal of sharp pulse)

map algorithm using matlab

说明：  五阶CIC梳状积分滤波器，可以综合，非常有参考价值(Fifth-order CIC points comb filter, can be integrated and very useful)