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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)

该程序是QR解矩阵特征值的，matlab程序(The program is the solution matrix eigenvalue QR)

This code uses MATLAB s Internal Functions and Memory Preallocations to apply a Fast Implementation of kmeans algorithm. This is a efficient code for clustering a gray or Color image or it can be used for clustering a Multidimensional Array. Comparison. 1. Faster than MATLAB s internal kmeans function. 2. Consistant Output than internal kmeans. 3. 100 convergence.

export To Zip Identifies file

Smith chart tool for RF

Hilbert 用于心电信号的检测，提取R波(Hilbert detect the R wave in the ECG )

network reduction method for power systems

时滞微分方程组的原方程，以及相图程序，包括matlab源代码(Delay differential equations of the original equation, and the phase diagram of the program, including Matlab source code)

已经下载好的书籍，经过设计相关滤波器实现心电信号滤波(Download the good books has been designed correlation filter the ECG signal filtering)

contain code for principal component analysis