Description: 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. Platform: |
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Author:kobe717 |
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Description: 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 antenna source signal, known as blind signal separation. Blind signal separation is not only the signal processing community, but also a neural network hot topic in research circles, in the wireless data communications , radar images, audio, medical and seismic signal processing and other fields have broad application prospects. and the phases using the natural gradient learning method. Platform: |
Size: 77824 |
Author:chenxiaocen |
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Description: 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-channel observed signals. It has widely applied in wireless communication, biological signals extraction, audio signal processing, image processing, and noise reducing and so on. Platform: |
Size: 510976 |
Author:zhaojianli |
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Description: 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 been mixed and then captured by multiple sensors or microphones. Platform: |
Size: 14336 |
Author:vikram |
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Description: 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 Platform: |
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Author:dd8989 |
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Description: 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 to support a variety of formats such as tif, jpg, bmp, wav, together with a detailed program comments The sample for the run to use Platform: |
Size: 1272832 |
Author:十天半个月 |
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Description:
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, permuation.m, separation.m, Readme.txt
,X_linear.wav,X_room.wav
and readme.txt can help users operate the code correctly.
Beside the X_linear.wav,X_room.wav is the sound mixtures is considered as input signal
Platform: |
Size: 125952 |
Author:liu |
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Description: 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 of source signals from a set of mixed signals, without the aid of information (or with very little information) about the source signals or the mixing process. This problem is in general highly underdetermined, but useful solutions can be derived under a surprising variety of conditions. Much of the early literature in this field focuses on the separation of temporal signals such as audio. However, blind signal separation is now routinely performed on multidimensional data, such as images and tensors, which may involve no time dimension whatsoever.) Platform: |
Size: 244736 |
Author:苏子卿
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Search - Blind source separation audio