Analysis and Comparative Study of Source Separation Performances in Feed-Forward and Feed-Back BSSs Based on Propagation Delays in Convolutive Mixture

Lecture Notes in Computer Science - Artificial Neural Networks – ICANN 2007 ◽

10.1007/978-3-540-74690-4_18 ◽

2007 ◽

pp. 169-179

Author(s):

Akihide Horita ◽

Kenji Nakayama ◽

Akihiro Hirano

Keyword(s):

Comparative Study ◽

Source Separation ◽

Feed Forward ◽

Propagation Delays ◽

Convolutive Mixture ◽

Separation Performances

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A Comparative Study of Feed Forward Hybrid Neuro-Computing Framework with Multilayer Perceptron Model for Prediction of Breast Cancer

Lecture Notes in Electrical Engineering - ICCCE 2020 ◽

10.1007/978-981-15-7961-5_132 ◽

2020 ◽

pp. 1455-1463

Author(s):

M. R. Narasingarao ◽

V. Satya Aruna

Keyword(s):

Breast Cancer ◽

Comparative Study ◽

Multilayer Perceptron ◽

Feed Forward ◽

Computing Framework

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A hybrid algorithm for blind source separation of a convolutive mixture of three speech sources

EURASIP Journal on Advances in Signal Processing ◽

10.1186/1687-6180-2014-92 ◽

2014 ◽

Vol 2014 (1) ◽

Author(s):

Shahab Faiz Minhas ◽

Patrick Gaydecki

Keyword(s):

Blind Source Separation ◽

Hybrid Algorithm ◽

Source Separation ◽

Convolutive Mixture

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Active damping control with a feed forward loop for single-phase UPS inverter system: A comparative study

2015 International Conference on Energy Economics and Environment (ICEEE) ◽

10.1109/energyeconomics.2015.7235065 ◽

2015 ◽

Author(s):

Santosh Kumar Singh ◽

S. Ghatak Choudhuri

Keyword(s):

Comparative Study ◽

Single Phase ◽

Active Damping ◽

Feed Forward ◽

Feed Forward Loop ◽

Damping Control ◽

System A ◽

Active Damping Control

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Multistage Blind Source Separation and Deconvolution for Convolutive Mixture of Speech Signals

International Journal of Computational Intelligence Research ◽

10.5019/j.ijcir.2007.86 ◽

2007 ◽

Vol 3 (1) ◽

Author(s):

Yanxue Liang ◽

Fengyu Cong ◽

Ichiro Hagiwara

Keyword(s):

Blind Source Separation ◽

Source Separation ◽

Speech Signals ◽

Convolutive Mixture

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A comparative study of the feed forward back propagation (FFBP) and layer recurrent (LR) neural network model for forecasting ground level ozone concentration

Air Quality Atmosphere & Health ◽

10.1007/s11869-016-0417-0 ◽

2016 ◽

Vol 10 (2) ◽

pp. 213-223 ◽

Author(s):

A. K. Gorai ◽

Gargi Mitra

Keyword(s):

Neural Network ◽

Comparative Study ◽

Network Model ◽

Neural Network Model ◽

Ozone Concentration ◽

Back Propagation ◽

Ground Level ◽

Feed Forward ◽

Ground Level Ozone ◽

Feed Forward Back Propagation

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Analysis of signal separation and distortion analysis in feedforward blind source separation for convolutive mixture

The 2004 47th Midwest Symposium on Circuits and Systems, 2004. MWSCAS '04. ◽

10.1109/mwscas.2004.1354328 ◽

2004 ◽

Author(s):

K. Nakayama ◽

A. Hiranom ◽

Y. Dejima

Keyword(s):

Blind Source Separation ◽

Source Separation ◽

Signal Separation ◽

Distortion Analysis ◽

Convolutive Mixture

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A Comparative Study of Approximate Joint Diagonalization Algorithms for Blind Source Separation in Presence of Additive Noise

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2007.893974 ◽

2007 ◽

Vol 55 (6) ◽

pp. 3022-3031 ◽

Author(s):

Serge Dgerine ◽

Elimane Kane

Keyword(s):

Comparative Study ◽

Blind Source Separation ◽

Additive Noise ◽

Source Separation ◽

Joint Diagonalization

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Subband blind source separation for convolutive mixture of speech signals based on dynamic modeling

IEEE International Symposium on Signal Processing and Information Technology ◽

10.1109/isspit.2013.6781897 ◽

2013 ◽

Author(s):

Raziyeh Mosayebi ◽

Hamid Sheikhzadeh ◽

Kaamran Raahemifar

Keyword(s):

Blind Source Separation ◽

Dynamic Modeling ◽

Source Separation ◽

Speech Signals ◽

Convolutive Mixture

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Fundamental limitation of frequency domain blind source separation for convolutive mixture of speech

2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221) ◽

10.1109/icassp.2001.940212 ◽

2002 ◽

Author(s):

S. Araki ◽

S. Makino ◽

T. Nishikawa ◽

H. Saruwatari

Keyword(s):

Frequency Domain ◽

Blind Source Separation ◽

Source Separation ◽

Convolutive Mixture ◽

Fundamental Limitation

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On the convolutive mixture source separation by the decorrelation approach

Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181) ◽

10.1109/icassp.1998.681561 ◽

2002 ◽

Author(s):

C. Simon ◽

G. D'Urso ◽

C. Vignat ◽

P. Loubaton

Keyword(s):

Source Separation ◽

Convolutive Mixture

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