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Adaptive Blind Separation of Two Dependent Sources [article]

George V. Moustakides, Feeby Salib, Kalliopi Basioti
2019 arXiv   pre-print
We consider the problem of adaptive blind separation of two sources from their instantaneous mixtures. We focus on the case where the two sources are not necessarily independent.  ...  By analyzing a general form of adaptive algorithms we show that separation is possible not only for independent sources but also for sources that are dependent provided their joint pdf satisfies certain  ...  CONCLUSION We considered adaptive algorithms that are capable of blindly separating dependent sources.  ... 
arXiv:1906.10004v2 fatcat:6tbqa3cp7rfqpn54li3arcfmxy

Combined blind/nonblind source separation based on the natural gradient

M. Joho, H. Mathis, G.S. Moschytz
2001 IEEE Signal Processing Letters  
Index Terms-Adaptive blind source separation, blind signal processing, natural gradient learning algorithm, semi-blind learning algorithm, teleconferencing, virtual sensors.  ...  However, as shown in this letter, the knowledge of a subset of signals can greatly accelerate the convergence of blind source separation.  ...  Separation can be achieved through a blind adaptive algorithm adjusting the coefficients of the separation matrix .  ... 
doi:10.1109/97.935740 fatcat:n3u2imjwfvbxhoip5rrxzx3nhu

Adaptive blind source separation with HRTFs beamforming preprocessing

Mounira Maazaoui, Karim Abed-Meraim, Yves Grenier
2012 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM)  
We propose an adaptive blind source separation algorithm in the context of robot audition using a microphone array.  ...  Index Terms-Adaptive blind source separation, fixed beamforming, head related transfer functions  ...  ADAPTIVE BLIND SOURCE SEPARATION ALGORITHM WITH FIXED BEAMFORMING PREPROCESSING In this section, we present the implementation details of our two step separation algorithm in a fully adaptive context with  ... 
doi:10.1109/sam.2012.6250486 dblp:conf/ieeesam/MaazaouiAG12 fatcat:kfd6hvk3y5fwfacvnresghraim

Self-Adaptive Blind Source Separation Based on Activation Functions Adaptation

L. Zhang, A. Cichocki, S. Amari
2004 IEEE Transactions on Neural Networks  
paper to develop a general framework of blind separation from a practical point of view with special emphasis on the activation function adaptation.  ...  As we know, a number of factors are likely to affect separation results in practical applications, such as the number of active sources, the distribution of source signals, and noise.The purpose of this  ...  The purpose of blind source separation is to adapt the demixing model such that its output signals are mutually independent.  ... 
doi:10.1109/tnn.2004.824420 pmid:15384517 fatcat:kwskyv54kvdzzil7mejvlfflwa

Blind separation of signals with mixed kurtosis signs using threshold activation functions

H. Mathis, T.P. von Hoff, M. Joho
2001 IEEE Transactions on Neural Networks  
A parameterized activation function in the form of an adaptive threshold for a single-layer neural network, which separates a mixture of signals with any distribution (except for Gaussian), is introduced  ...  If the threshold parameter is made adaptive during the separation process, the successful separation of signals whose distribution is unknown is demonstrated and compared against other known methods.  ...  Recovery of the signals is carried out by a blind adaptive algorithm adjusting the coefficients of the separation matrix .  ... 
doi:10.1109/72.925565 pmid:18249895 fatcat:4s3njkynazaj7awzx3iyr2eyaq

Adaptive blind source separation by second order statistics and natural gradient

Yong Xiang, K. Abed-Meraim, Yingbo Hua
1999 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258)  
This paper presents an adaptive blind source separation method using second order statistics (SOS) and natural gradient.  ...  Separation of sources that are mixed by an unknown (hence, "blind") mixing matrix is an important task for a wide range of applications.  ...  The purpose of blind source separation is to find a separating matrix, i.e., an n n matrix B such thatŝt = Bxt is an estimate of the source signals.  ... 
doi:10.1109/icassp.1999.761373 dblp:conf/icassp/XiangAH99 fatcat:2ypx2wkqkvbrvjaftffm73eqhu

Blind extraction of singularly mixed source signals

J.M. Zurada, Jun Wang, Yuanqing Li
2000 IEEE Transactions on Neural Networks  
First, a neuralnetwork model and an adaptive algorithm for single-source blind extraction are introduced.  ...  This paper introduces a novel technique for sequential blind extraction of singularly mixed sources.  ...  blind separation of linear mixtures of source signals [4] - [11] , [17] - [19] .  ... 
doi:10.1109/72.883467 pmid:18249865 fatcat:mzk6lpt6xrdw5gt44fzv6fezgm

Blind Criterion and Oracle Bound for Instantaneous Audio Source Separation using Adaptive Time-Frequency Representations

Emmanuel Vincent, Remi Gribonval
2007 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics  
In this paper, we propose a new criterion for the blind estimation of an adapted representation of an instantaneous mixture and explain how to compute the oracle representation leading to the best possible  ...  bin with a small number of active sources.  ...  We plan in particular to integrate the separation method proposed in [10] within the framework of adaptive representation, using the same criterion for the blind estimation of the source coefficients  ... 
doi:10.1109/aspaa.2007.4392974 fatcat:jtpdin6mu5fjvgve64oseyv5nq

Combining Superdirective Beamforming and Frequency-Domain Blind Source Separation for Highly Reverberant Signals

Lin Wang, Heping Ding, Fuliang Yin
2010 EURASIP Journal on Audio, Speech, and Music Processing  
To improve the separation result, this paper proposes a method which combines two techniques by using beamforming as a preprocessor of blind source separation.  ...  Simulation results verify the outperformance of the proposed method over using beamforming or blind source separation alone.  ...  Two kinds of techniques are promising in achieving source separation with multiple microphones: beamforming and blind source separation.  ... 
doi:10.1186/1687-4722-2010-797962 fatcat:n2p5a5ws5fflppva6ffwk656ii

Combining Superdirective Beamforming and Frequency-Domain Blind Source Separation for Highly Reverberant Signals

Lin Wang, Heping Ding, Fuliang Yin
2010 EURASIP Journal on Audio, Speech, and Music Processing  
To improve the separation result, this paper proposes a method which combines two techniques by using beamforming as a preprocessor of blind source separation.  ...  Simulation results verify the outperformance of the proposed method over using beamforming or blind source separation alone.  ...  Two kinds of techniques are promising in achieving source separation with multiple microphones: beamforming and blind source separation.  ... 
doi:10.1155/2010/797962 fatcat:fc4l45rko5afva5zq2r5cjpby4

Adaptive blind signal processing-neural network approaches

S. Amari, A. Cichocki
1998 Proceedings of the IEEE  
/equalization of independent source signals.  ...  Learning algorithms and underlying basic mathematical ideas are presented for the problem of adaptive blind signal processing, especially instantaneous blind separation and multichannel blind deconvolution  ...  STATISTICAL PROPERTIES OF ADAPTIVE ALGORITHMS FOR BLIND SOURCE SEPARATION We have described a family of adaptive learning algorithms.  ... 
doi:10.1109/5.720251 fatcat:jg337aeuxnd3rec634qd3qjfde

MULTI-CHANNEL IMAGE SOURCE SEPARATION BY DICTIONARY UPDATE METHOD

D. SUGUMAR, ANJU THOMAS, P. T VANATHI
2014 International Journal of Electronics Signals and Systems  
The proposed method, a local dictionary is adaptively learned for each source separately along with separation.  ...  This approach improves the quality of source separation both in noiseless and different noisy situations. The advantage of this method is that it denoise the sources during separation.  ...  The blind separation of images using proposed method provides a better quality of image separation. The blind image separation process assumes that the sources are 2-D grayscale images.  ... 
doi:10.47893/ijess.2014.1169 fatcat:gox5bjb3szc53g65ulqojqwhta

Blind Signal Separation Algorithm for Acoustic Echo Cancellation

Haengwoo Lee
2018 Indonesian Journal of Electrical Engineering and Informatics (IJEEI)  
Many simulations have been performed to verify the performance of the proposed blind signal separation.  ...  In the closed echo environment, the mixing model of acoustic signals has multi-channel, so the convolutive blind signal separation method is applied.  ...  ACKNOWLEDGEMENTS Funding of this paper was provided by Namseoul University.  ... 
doi:10.11591/ijeei.v6i3.583 fatcat:gaxscnih4fdiziufe5n7rwh5ea

Blind source separation of convolutive mixtures

Shoji Makino, Harold H. Szu
2006 Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks IV  
This paper introduces the blind source separation (BSS) of convolutive mixtures of acoustic signals, especially speech.  ...  If sources are not "independent," the dependence results in bias noise when obtaining the correct separation filter coefficients. Therefore, the performance of BSS is limited by that of ABF.  ...  Thus, this task is called blind source separation (Fig. 2 ).  ... 
doi:10.1117/12.674413 fatcat:rjp6ttufbnf37fajrpt2msqaxy

Oracle estimation of adaptive cosine packet transforms for underdetermined audio source separation

Andrew Nesbit, Mark D. Plumbley
2008 Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing  
Oracle estimation of four musical sources from two-channel mixtures demonstrates a potential for SDR improvements of up to 12.7 dB, compared to semi-blind methods.  ...  We address the problem of instantaneous, underdetermined audio source separation by time-frequency masking.  ...  significant problem for the future is to search for (semi-)blind methods which can approach the potential performance gain indicated by the oracle methods, particularly for the methods based on adaptive  ... 
doi:10.1109/icassp.2008.4517541 dblp:conf/icassp/NesbitP08 fatcat:ezhu666rfney3hwzqglbnt7dxe
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