搜索资源列表
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
ICA---EASI
- 盲信号语音分离的程序，基于独立分量的分离程序，若输入两个源信号，则可以输出一组混合信号和分离后的信号-Blind signal speech separation procedure, based on independent component separation procedure, enter the two source signals, the output signal after a group of mixed-signal and separation
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.
tffllexicah
- 这是实际环境中语音信号盲分离的最新程序源码代码，用于语音信号独立分量分分析ICA。解压后运行，输入录制的混合语音信号即可看到结果。 可直接使用。 -This is the program source code for blind separation of speech signals in the real environment for the voice signal of independent component analysis of the ICA. After decomp
UInfformax_Fas
- 用matlab实现扩展Informax算法与固定点算法Faast ICA，可对混合后信号进行独立分量分离 已通过测试。 -Using matlab to expand Informax algorithm with fixed-point algorithm Faast ICA, independent component separation of the mixed signal has been tested.
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
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.
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
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