Post-processing for Enhancing Target Signal in Frequency Domain Blind Source Separation

Multimedia Content Representation, Classification and Security - Lecture Notes in Computer Science ◽

10.1007/11848035_64 ◽

2006 ◽

pp. 482-488

Author(s):

Hyuntae Kim ◽

Jangsik Park ◽

Keunsoo Park

Keyword(s):

Frequency Domain ◽

Blind Source Separation ◽

Source Separation ◽

Post Processing ◽

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Post-processing for frequency-domain blind source separation in hearing aids

2009 7th International Conference on Information, Communications and Signal Processing (ICICS) ◽

10.1109/icics.2009.5397512 ◽

2009 ◽

Author(s):

Shaobo Han ◽

Jie Cui ◽

Ping Li

Keyword(s):

Frequency Domain ◽

Blind Source Separation ◽

Hearing Aids ◽

Source Separation ◽

Post Processing

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Blind Source Separation in the Time-Frequency Domain Based on Multiple Hypothesis Testing

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2007.914316 ◽

2008 ◽

Vol 56 (6) ◽

pp. 2267-2279 ◽

Author(s):

L. Cirillo ◽

A. Zoubir ◽

M. Amin

Keyword(s):

Hypothesis Testing ◽

Frequency Domain ◽

Blind Source Separation ◽

Source Separation ◽

Multiple Hypothesis Testing ◽

Time Frequency ◽

Multiple Hypothesis

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A robust approach to the permutation problem of frequency-domain blind source separation

2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). ◽

10.1109/icassp.2003.1199969 ◽

2004 ◽

Author(s):

H. Sawada ◽

R. Mukai ◽

S. Araki ◽

S. Makino

Keyword(s):

Frequency Domain ◽

Blind Source Separation ◽

Source Separation ◽

Robust Approach ◽

Permutation Problem

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Blind source separation of acoustic mixtures using time-frequency domain independent component analysis

The 8th International Conference on Communication Systems, 2002. ICCS 2002. ◽

10.1109/iccs.2002.1183286 ◽

2003 ◽

Author(s):

D.S. Jayarman ◽

G. Sitaraman ◽

R. Seshadri

Keyword(s):

Independent Component Analysis ◽

Frequency Domain ◽

Blind Source Separation ◽

Source Separation ◽

Component Analysis ◽

Independent Component ◽

Time Frequency ◽

Domain Independent

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Overcoming block permutation problem in frequency domain blind source separation when using AuxIVA algorithm

Electronics Letters ◽

10.1049/el.2011.3988 ◽

2012 ◽

Vol 48 (8) ◽

pp. 460 ◽

Author(s):

Yanfeng Liang ◽

S.M. Naqvi ◽

J. Chambers

Keyword(s):

Frequency Domain ◽

Blind Source Separation ◽

Source Separation ◽

Permutation Problem ◽

Block Permutation

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Independent vector analysis with a multivariate generalized gaussian source prior for frequency domain blind source separation

2013 IEEE International Conference on Acoustics, Speech and Signal Processing ◽

10.1109/icassp.2013.6638834 ◽

2013 ◽

Author(s):

Yanfeng Liang ◽

Syed Mohsen Naqvi ◽

Jonathon A. Chambers

Keyword(s):

Frequency Domain ◽

Blind Source Separation ◽

Source Separation ◽

Vector Analysis ◽

Independent Vector ◽

Independent Vector Analysis ◽

Gaussian Source

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Blind Source Separation of Convolutive Mixtures of Speech in Frequency Domain

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1093/ietfec/e88-a.7.1640 ◽

2005 ◽

Vol E88-A (7) ◽

pp. 1640-1655 ◽

Author(s):

S. MAKINO

Keyword(s):

Frequency Domain ◽

Blind Source Separation ◽

Source Separation ◽

Convolutive Mixtures

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Frequency Domain Trinicon-Based Blind Source Separation Method with Multi-Source Activity Detection for Sparsely Mixed Signals

2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM) ◽

10.1109/sam.2018.8448518 ◽

2018 ◽

Author(s):

Zelin Wang ◽

Jing Lu ◽

Kai Chen

Keyword(s):

Frequency Domain ◽

Blind Source Separation ◽

Source Separation ◽

Separation Method ◽

Activity Detection

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Underdetermined convolutive blind source separation in the time–frequency domain based on single source points and experimental validation

Measurement Science and Technology ◽

10.1088/1361-6501/ab816f ◽

2020 ◽

Vol 31 (9) ◽

pp. 095001

Author(s):

Wei Cheng ◽

Zhengzheng Jia ◽

Xuefeng Chen ◽

Linsheng Han ◽

Guanghui Zhou ◽

...

Keyword(s):

Frequency Domain ◽

Blind Source Separation ◽

Experimental Validation ◽

Source Separation ◽

Single Source ◽

Time Frequency ◽

Single Source Points ◽

Convolutive Blind Source Separation

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Convolutive Blind Source Separation in the Frequency Domain Based on Sparse Representation

IEEE Transactions on Audio Speech and Language Processing ◽

10.1109/tasl.2007.898457 ◽

2007 ◽

Vol 15 (5) ◽

pp. 1551-1563 ◽

Author(s):

Zhaoshui He ◽

Shengli Xie ◽

Shuxue Ding ◽

Andrzej Cichocki

Keyword(s):

Sparse Representation ◽

Frequency Domain ◽

Blind Source Separation ◽

Source Separation ◽

Convolutive Blind Source Separation

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