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这是一个音频时域信号的盲源分离的Matlab程序，效果不错。-This is an audio signal in time domain blind source separation of the Matlab program, the effect is good.
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在源信号和传输信道未知情况下，只利用接收天线的观测数据抽取源信号，称为盲信号分离.盲信号分离不仅是信号处理界、而且也是神经网络界的研究热点课题，在无线数据通信、雷达、图像、语音、医学以及地震信号处理等领域都具有广阔的应用前景.采用自然梯度法和分阶段学习法。-The source signal and transmission channel is unknown circumstances, using only observational data extraction receiving a
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独立分量分析（ICA）以非高斯源信号为研究对象，在统计独立的假设下，对多路观测到的混合信号进行盲信号分离，已广泛应用于无线通信、生物信号提取、语音信号处理、图像处理和噪声抑制等领域。 -The independent component analysis (ICA) addresses non-Gaussian source signals under amusing independent each other, it performs blind separation for multi-c
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The technique for estimation of individual components source from their mixtures at multiple sensors is known as blind source separation (BSS). In a real room environment, one well known BSS application is the separation of audio sources which have b
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基于盲源分离的多重音频数据库水印算法Blind source separation based on multiple audio digital watermark algorithm-Blind source separation based on multiple audio digital watermark algorithm
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用音频的ICA计算，可进行盲信号源的分离-Blind source separation using the ICA calculation of the audio
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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
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The goal of this project is separate the sound mixtures (.wav) to source signal.
-it is an audio blind source separation with independent component analysis.
In the file , it contains correlation.m, decorrelation.m, ica_.m , joint_diag.m, per
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盲源分离（BSS: Blind Source Separation），又称为盲信号分离，是指在信号的理论模型和源信号无法精确获知的情况下，如何从混迭信号（观测信号）中分离出各源信号的过程。盲源分离和盲辨识是盲信号处理的两大类型。盲源分离的目的是求得源信号的最佳估计，盲辨识的目的是求得传输通道混合矩阵。(Blind signal separation (BSS), also known as blind source separation, is the separation of a set o
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ica fasst algorthim signal processing audio separation blind source
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