搜索资源列表
FFastICA225a
- FastICA25－－－快速独立分量分解算法 -FastICA25--- fast independent component decomposition algorithm
ica
- 使用快速ica算法得到了独立分量分解，在设定独立分量个数后，可将复杂数据进行分量分解-To use rapid ica algorithm independent component decomposition of the complex data set independent of the number of components, component decomposition
bss
- 基于独立分量分析的消噪方法在旋转机械特征提取中的应用-Denoising method based on independent component analysis in rotating machinery feature extraction
fastica
- 改进的快速独立分量分析算法，解耦，恢复原信号-Improved fast independent component analysis algorithm, decoupling and restore the original signal
Improved-ICA-character-recognition
- 该算法一种结合改进的基于独立分量分析（ICA）提取算法和基于多层感知器和单向二叉决策树的多类支持向量机分类方法。-The algorithm is a combination of improved based on independent component analysis (ICA) algorithm and multi-class support vector machine classification method based on binary decision tree of
my_ICA
- 基于峭度的快速独立分量分析的程序，内含三个源信号-Based on kurtosis fast independent component analysis program, containing three source signal
MutualInformationICA
- 互信息独立分量分析，克服传统独立分量分析的缺陷，很好的实现原信号波形恢复。-Mutual information independent component analysis, to overcome the defects of traditional independent component analysis, it is good to realize the original signal recovery.
ICABSS
- 简述了独立分量分析理论和盲源分离技术20年的发展历史，概述性非常强。-Outlining very briefly independent component analysis theory and blind source separation technique 20 years of development history.
resultICA
- 大纲很简单地独立分量分析理论和盲源分离技术20多年的发展历史，及其程序。-Independent component analysis of the history of the development of the theory and blind source separation technology more than 20 years, and its procedures.
signalOK
- 构造模拟信号进行ICA独立分量盲源分离程序，值得参考和下载哦，可直接运行-Constructed analog signal the ICA independent component blind source separation program, worth considering and download Oh, and can be run directly
project-1
- 对盲源分离和独立分量分析进行了详细的介绍，可读性好。-Blind source separation and independent component analysis, a detailed introduction and readable.
FastICA_testing_wav_img_samples
- matlab FastICA快速独立分量分析 通过FastICA工具箱(内含),对图像、音频进行盲源分离,去均值,白化处理,支持tif,jpg,bmp,wav等多种格式，并附有详细程序注释及sample供运行使用-matlab FastICA fast independent component analysis FastICA toolbox (included), images, audio, blind source separation to mean whitening process
ICA
- 基于独立分量分析去除肌电信号中的工频干扰及其谐波分量-Filter the power line interference and its harmonic in EMG
tidu_ICA
- 梯度ICA方法用来解决独立分量分析问题，通信方面的-the code of independent component analysis of matlab
work
- 对三路信号进行分离，基于峭度和基于负熵的独立分量分析（ICA）-The three way signal separation, based on the kurtosis and independent component analysis (ICA) based on negative entropy
Grenoble_Matlab_project
- ICA独立分量去噪算法原理的基本介绍，见解深刻的介绍基本算法原理，和iCA的应用范围-The the ICA denoising algorithm basic introduction of the principle of independent component insightful introduction to the basic algorithm principle and iCA range of applications
ICALABIPv2_0
- 独立分量分析工具，ICAlab，可以对了解独立分量分析的具体操作。-Independent component analysis tools, ICAlab, specific actions can understand the independent component analysis.
sdica
- 硕博美国留学的中科大本科毕业的研究独立分量分析的一位牛人编写的子带ica的matlab程序。研究盲源分离的必备。-USTC graduated Shuobo study in the United States of an independent component analysis cattle were prepared subband ica matlab program. Study the blind source separation essential.
ica_D_R
- 具有参考信号的独立分量分析程序，国外的提出这个问题的人编写的。-Independent component analysis (ICA) program with a reference signal abroad website.
332
- 齿轮箱早期的故障信号往往十分微弱,信噪比低,这大大限制了已有诊断方法在早期诊断中的应用,因此如何获取真实的振动信号是提高齿轮箱早期故障诊断质量的关键,独立分量分析(ICA)为此提供了一种新的思路。文 中研究了ICA在齿轮箱故障早期诊断中的应用,首先分析了齿轮箱的混合振动信号模型,然后针对具体的轴承故障进行了实验,并使用快速ICA算法分离出轴承的振动信号-The early gearbox fault signal is often very weak, low signal-to-noise