Blind system identification using minimum noise subspace

Yingbo Hua; K. Abed-Meraim; M. Wax

doi:10.1109/78.558501

Blind system identification using minimum noise subspace

IEEE Transactions on Signal Processing ◽

10.1109/78.558501 ◽

1997 ◽

Vol 45 (3) ◽

pp. 770-773 ◽

Cited By ~ 18

Author(s):

Yingbo Hua ◽

K. Abed-Meraim ◽

M. Wax

Keyword(s):

System Identification ◽

Noise Subspace ◽

Blind System Identification ◽

Minimum Noise

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Blind system identification using minimum noise subspace

Proceedings of 8th Workshop on Statistical Signal and Array Processing ◽

10.1109/ssap.1996.534878 ◽

2002 ◽

Cited By ~ 4

Author(s):

Yingbo Hua ◽

K.A. Meraim ◽

M. Wax

Keyword(s):

System Identification ◽

Noise Subspace ◽

Blind System Identification ◽

Minimum Noise

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Weighted minimum noise subspace method for blind system identification

Signal Processing ◽

10.1016/s0165-1684(98)00084-x ◽

1998 ◽

Vol 69 (1) ◽

pp. 15-27 ◽

Cited By ~ 3

Author(s):

Karim Abed-Meraim ◽

Yingbo Hua

Keyword(s):

System Identification ◽

Subspace Method ◽

Noise Subspace ◽

Blind System Identification ◽

Minimum Noise

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Orthogonal minimum noise subspace for multiple-input multiple-output system identification

Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing (Cat. No.01TH8563) ◽

10.1109/ssp.2001.955278 ◽

2002 ◽

Cited By ~ 2

Author(s):

A. Safavi ◽

K. Abed-Meraim

Keyword(s):

System Identification ◽

Multiple Input Multiple Output ◽

Noise Subspace ◽

Multiple Input ◽

Input Multiple Output ◽

Output System ◽

Minimum Noise

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Blind system identification based on the complex cepstrum of the cyclic autocorrelation

1993 IEEE International Symposium on Circuits and Systems ◽

10.1109/iscas.1993.393824 ◽

2002 ◽

Cited By ~ 1

Author(s):

D. Hatzinakos

Keyword(s):

System Identification ◽

Complex Cepstrum ◽

Blind System Identification

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Blind System Identification

Blind Estimation Using Higher-Order Statistics ◽

10.1007/978-1-4757-2985-6_3 ◽

1999 ◽

pp. 103-165

Author(s):

J. K. Richardson ◽

A. K. Nandi

Keyword(s):

System Identification ◽

Blind System Identification

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Blind system identification in an impulsive environment

Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics ◽

10.1109/host.1997.613521 ◽

2002 ◽

Author(s):

Jijun Yin ◽

A.P. Petropulu

Keyword(s):

System Identification ◽

Blind System Identification

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Minimum noise subspace: concepts and applications

Proceedings of ICICS, 1997 International Conference on Information, Communications and Signal Processing. Theme: Trends in Information Systems Engineering and Wireless Multimedia Communications (Cat. No.97TH8237) ◽

10.1109/icics.1997.647069 ◽

2002 ◽

Cited By ~ 4

Author(s):

K. Abed-Meraim ◽

Y. Hua ◽

A. Belouchrani

Keyword(s):

Noise Subspace ◽

Minimum Noise

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Blind System Identification Using Normalized Fourier Coefficient Gradient Vectors Obtained from Time-Frequency Entropy-Based Blind Clustering of Data Wavelets

Digital Signal Processing ◽

10.1006/dspr.1998.0317 ◽

1999 ◽

Vol 9 (1) ◽

pp. 18-35 ◽

Cited By ~ 2

Author(s):

B. Kaufhold ◽

R.L. Kirlin ◽

R.M. Dizaji

Keyword(s):

System Identification ◽

Fourier Coefficient ◽

Time Frequency ◽

Blind System Identification

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Matched Field Processing ‚Äî A Blind System Identification Technique

Electrical Engineering & Applied Signal Processing Series - Advanced Signal Processing Handbook ◽

10.1201/9781420037395.ch4 ◽

2000 ◽

Author(s):

N Ross Chapman ◽

Reza Dizaji ◽

R Kirlin

Keyword(s):

System Identification ◽

Matched Field Processing ◽

Identification Technique ◽

Blind System Identification

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Prediction of Occupancy Level and Energy Consumption in Office Building Using Blind System Identification and Neural Networks

10.1007/978-981-16-2778-1_3 ◽

2021 ◽

pp. 47-79

Author(s):

Jinshun Wu ◽

Yixuan Wei ◽

Xingxing Zhang

Keyword(s):

Neural Networks ◽

Energy Consumption ◽

System Identification ◽

Office Building ◽

Blind System Identification

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