搜索资源列表
ICA
- 独立分量分析的原理与应用，大家看看，一个很有用-Principle and Application of independent component analysis, we look at a useful
leaves-bass-algorithm
- 这是一个贝叶斯独立分量分析(ICA)算法的线性瞬时混合高斯噪声模型和添加剂。解决问题的是ML-II推论,即资源的整合在发现源后和噪声协方差矩阵和混合了最大化的边际似然。充分统计量的估计平均场或变分理论和线性响应修正或通过自适应平均场理论水龙头。平均场方程,解决了信仰传播法的或连续的迭代。-This is a bayesian independent component analysis (ICA) algorithm of instantaneous linear mixed gaussian
Feature-level-fusion-recognition
- 介绍了复值独立分量分析(Complex ICA)的基本原理和算法，提出了基于复值独立分量分析的目标识别方法并将其应用于多传感器融合的目标识别中-The basic principle and algorithm of the complex valued Independent Component Analysis (ICA)are introduced，and a new target recognition algorithm based on the complex valued IC
bss
- 基于独立分量分析的语音信号盲分离算法，采用matlab编程，程序共593行-Based on independent component analysis (ica) speech signal separation algorithm, based on matlab programming
jiyudongtaidulifenliangfenxi
- 基于动态独立分量分析的谐波检测方法，实现过程，算法公式-Harmonic detection method based on dynamic independent component analysis, implementation process, the algorithm formula
icalab
- 独立分量分析工具包，包括十余种主流ICA分析工具，上手可用。-Independent component analysis toolkit, including more than 10 kinds of mainstream ICA analysis tool, to get started is available.
ica_demo
- 独立分量分析旨在对独立信源产生且经过未知混合的观测信号进行盲分离，从而重现原独立信源，其应用主要集中在盲源分离和特征提取两方面-Independent component analysis is designed to blind separation and after the unknown mixture of observed signals, which reproduce the original independent source independent source, its
ica-and-pca
- 基于matlab环境下的一个独立分量分析的小程序，包括对三个语音信号混合后的ica分析-Analysis program based on an independent component in the Matlab environment, including analysis of three speech signals mixed after ica
ICA_sour
- 独立分量分析用于混合信号的分离，使用的算法是快速固定点算法，3路混合信号分别为man.pcm、dragon.pcm和music.pcm-Independent component analysis for mixed-signal separation algorithm used is a fast fixed-point algorithm, 3-way mixed-signal, respectively man.pcm, dragon.pcm and music.pcm
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.
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.
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
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.