搜索资源列表
FastICA_2.2
- fast fixed-point ICA算法的Matlab实现-fast fixed-point algorithms ICA Matlab
eeglab4.4.tar
- 含有多种ICA算法的eeglab工具箱-containing multiple ICA algorithm eeglab Toolbox
FastICA_2.3
- 快速ICA算法源码，有兴趣的读者可以转换成C-fast algorithm source, interested readers will be converted into C
FastICA25
- 快速ICA算法，在盲源分离中有很大的用处。-fast algorithm, the blind source separation is very useful.
ICAbss
- 串音误差检测，利用ica算法实现盲信号分离，以及检测输入信号叠加分离后的误差-crosstalk error detection algorithm using ica Blind Signal Separation. the input signal detection and separation of superposition error
ICA
- ica算法和数据，程序可以直接运行，比较直观，有注释！-Ica algorithm and data, the program can run directly, more intuitive, there are notes!
ICA
- 此程序适用于初学者的多通道正定盲源分离的快速ICA算法，适合初学者学习使用-This program is suitable for beginners of multi-channel positive definite fast ICA algorithm of blind source separation, suitable for beginners learning to use
ICA
- ICA算法可以提取个混合信号中各独立分量-The ICA algorithm can extract independent components in a mixed signal
Untitled2
- ICA算法去除基本噪声 脉冲噪声 随机噪声 工频噪声(CA algorithm removes basic noise, impulsive noise, random noise, power frequency noise)
Chared ICA Code
- 帝国主义竞争算法基本的流程都有，解决具体的问题可在代码上修改。(Imperialist Competition Algorithm)
Ica
- 采用改进的帝国算法很好的解决了tsp问题(The improved Empire algorithm is a good solution to the TSP problem)
implementICA
- 基本的ICA算法，可用于机器学习，最基础且有用的算法(The basic ICA algorithm can be used for machine learning, the most basic and useful algorithms)
ica
- 在matlab中使用竞争算法实现独立分量分析(A structured implementation of Imperialist Competitive Algorithm (ICA) in MATLAB)
实验6_NMF-ICA
- 实现非负矩阵分解算法和独立成分分析，得到遥感遥感图像解混结果(The non negative matrix factorization algorithm and independent component analysis are implemented to get the unmixing results of remote sensing images)
ICA快速算法原理和程序
- FastICA算法是基于非高斯性最大化原则得到的一批处理算法。峭度和负熵都可以作为非高斯性的度量。(Advantages: applicable to any non-gaussian signal, blind separation algorithm with fast convergence speed and easy to use, without the need to choose the learning step, i
基于负熵的FastICA
- 独立成分分析的Fast-ICA算法.可用于图像处理、信号分析、模式识别、人工智能(independent component analysis method based on negentropy.It can be used in image processing, signal analysis, pattern recognition and artificial intelligence)
FastICA
- 快速ICA算法，内有三个语音文件。线性混合后，可以通过算法还原原有的波形(Fast ICA algorithm, there are three voice files. After the linear mixing, the original waveform can be restored by the algorithm)
Desktop
- 使用ICA算法对于噪声信号进行盲源分离，有例子说明(Blind Source Separation of Noise Signals)
ICA
- 主要是运用ICA算法提取独立分量ICs,建立相关统计量，用于TE过程的故障检测(The ICA algorithm is used to extract the independent component ICs and establish correlation statistics for fault detection in TE process.)
21840311ica
- 用于脑电信号特征提取的infomax算法，基于infomax的ica算法的代码(Infomax algorithm for feature extraction of EEG signals, code based on infomax's ica algorithm)