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采用滤波器组,将盲分离与声源定位结合在一起。滤波器组中分别进行子带处理,并且在每个子带中进行声源定位,最后综合所有子带估计的方向得到多个声源的方位信息,同时将声源信息作为ICA分析的约束条件,可以在色噪声及多得到更好的盲分离效果。其优势在于用滤波器组进行多次的估计声源方向,再加以合适的权值均衡后即可得到更优的估计。-The use of filters will be blind source separation and sound localization together. Filter group were sub-band treatment, and in each sub-band in Sound Source Localization, and finally all the sub-band is estimated to be more than the direction of sound source location information, as well as sound source information as ICA analysis of the binding conditions, colored noise can be better and many of the blind source separation effect. Its advantage lies in a number of filter banks with estimated sound source direction, coupled with an appropriate balance weights can be obtained after the better estimate.
Update : 2024-05-20 Size : 462848 Publisher : chen

两路语音信号的Bell-Sejnowski ICA算法 -Basic Bell-Sejnowski ICA algorithm demonstrated on 2 speech signals.
Update : 2024-05-20 Size : 1024 Publisher : leo

定点频域ICA,使用高斯函数、负熵最大化来处理语音信号分离问题的演示-FIXED-POINT FREQUENCY DOMAIN ICA with GENERALIZED GAUSSIAN FUNCTION BASED NEGENTROPY APPROXIMATION for SPEECH SIGNAL SEPARATION
Update : 2024-05-20 Size : 847872 Publisher : leo

主成分分析程序包,包括主成分分析和独立主成分分析两个程序源代码。-Principal component analysis package, including principal component analysis principal component analysis and independent source code for both procedures.
Update : 2024-05-20 Size : 7168 Publisher : 2007理工信工

ica语音信号分离的程序,带有实验录音和图片,可直接进行操作和原代码分析。-ica voice signal separation procedure, with experimental audio and picture, can be directly carried out the operation and analysis of the original code.
Update : 2024-05-20 Size : 828416 Publisher : huilian.Li

ICA codes for different algorithms
Update : 2024-05-20 Size : 305152 Publisher : sreenath

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A full implementation of ICA,PCA,LDA,SVM,in both orginal and incremental in model of real time learnign for face recognition.
Update : 2024-05-20 Size : 3522560 Publisher : dasf

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matlab平台ICA独立成分分析源代码。用法:[icasig,W] = Fasticadef(x) 输入量:x 输出量:icasig(独立成分),W(分离矩阵)-matlab platform independent component analysis ICA source code. Usage: [icasig, W] = Fasticadef (x) input: x output: icasig (independent component), W (separation matrix)
Update : 2024-05-20 Size : 1024 Publisher : Corf

Otherone
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数字图像处理中基于ICA的人脸图像特征提取论文-Digital image processing of the ICA-based face image feature extraction Thesis
Update : 2024-05-20 Size : 251904 Publisher : 赵西西

matlabEASI
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ICA算法中EASI算法的程序,以前在网上下的-EASI algorithm ICA algorithm procedure, under the Web
Update : 2024-05-20 Size : 1024 Publisher : 亚男

带参考信号的盲源分离,很好用的程序,用于语音增强-ICA-R
Update : 2024-05-20 Size : 2048 Publisher : Jun Gong

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特征矩阵的联合对角化法(JADE),独立分量分析(ICA)的一种方法,用matlab编写-Characteristic matrix of the joint diagonalization method (JADE), independent component analysis (ICA) is a means to prepare with matlab
Update : 2024-05-20 Size : 5120 Publisher : Harvey

:独立成分分析 ( I C A)在国内尚属一门新型的方法 介绍了I C A的原理及其算法 ,然后介绍了该算法在盲源 信号分离中的具体应用,并将此方法 与主成分方洼 ( P C A)进行了比较-: Independent Component Analysis (ICA) in China is a new method to introduce the principle of the ICA and its algorithm, and then introduced the algorithm for blind source separation in the concrete application of this method and with the principal component to depression ( PCA) were compared
Update : 2024-05-20 Size : 144384 Publisher : 金振东

独立成分分析( I C A) 是一项把混合信号分解成具有统计独立性成分的新技术 。I C A近年已在生物医 域的信号分离中展示 了很好的应用前景 。 我们比较系统地介绍了 I C A的基本原理 、 主要算法 、 应用和 究的发展方向,旨在进一步推动有关的理论与应用研究工作。-Independent Component Analysis (ICA) is a decomposition of the mixed-signal components into a statistical independence of the new technologies. In recent years, ICA has been in bio-medical domain signal separation show a very good application prospects. We systematically introduced the basic principle of ICA, the main algorithms, applications and the development direction of research aimed at further promoting the application of the theory and research.
Update : 2024-05-20 Size : 268288 Publisher : 金振东

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:由于许多传统的去噪方法在强背景噪声情况下提取声音信号的能力变弱甚至失效, 提出 应用独立成分分析( I C A) 方法对声音信号进行特征提取, 并证明了这种 I C A 变换能增强语音和音 乐信号的超高斯性. 在此基础上, 应用 I C A基函数作为滤波器, 通过阈值化的去噪方法对含有强高 斯背景噪声的声音信号进行去噪仿真实验. 结果表明, 本方法明显优于传统的均值滤波和小波去噪 方法, 为强背景噪声下弱信号的检测提供 了新的途径.-: As many of the traditional de-noising method in case of strong background noise, the ability to extract the voice signal even weaker failure, the application of independent component analysis (ICA) method of voice signal feature extraction, and prove that this transformation can be enhanced voice ICA and music of super-Gaussian signals. On this basis, the application of ICA basis function as a filter, through the threshold of the denoising method of Gaussian background noise contains strong voice signal denoising simulation. The results show that this method is obviously superior to the traditional mean filtering and wavelet denoising methods for the strong background noise under the weak signal detection provides a new way.
Update : 2024-05-20 Size : 212992 Publisher : 金振东

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image separation using neural net
Update : 2024-05-20 Size : 96256 Publisher : waqar

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ICA watermarking. Blind, fragile, robust
Update : 2024-05-20 Size : 342016 Publisher : archer

matlabica
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利用原数据进行实验,并利用主成份分析后取样本。-Experimental use of the original data and the use of principal component analysis of a sample.
Update : 2024-05-20 Size : 3072 Publisher : your

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基于ICA的数字水印检测,可用于数字水印的检测和提取水印-ICA-based detection of digital watermarking, digital watermarking can be used for the detection and extraction of watermark
Update : 2024-05-20 Size : 64512 Publisher : pengfeiwu

fastica在matlab中的应用 包括源码及模块 基于ica的语音分离技术-fastica in matlab application, including source code and modules ica-based voice separation technology
Update : 2024-05-20 Size : 2579456 Publisher : 田亮
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