Error analysis of SOS-based MIMO system identification algorithm

B. Chen; A. P. Petropulu; K. I. Diamantaras

doi:10.1109/ACSSC.1999.832301

Error analysis of SOS-based MIMO system identification algorithm

B. Chen, A. P. Petropulu, K. I. Diamantaras

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We consider the problem of identification of a n×n convolutive mixture. The sources are independent and non-white, with known statistics. We have recently proposed a second-order statistics based identification approach of Diamantaras, Petropulu and Chen (see IEEE Trans. on Signal Processing, 1999), that utilizes eigenvalue decomposition of second-order spectral correlations. In this paper we conduct a preliminary analysis of the method of Diamantaras et al., that provides some insight on the selection of parameters involved, and indicates how the channels/signals characteristics affect the reconstruction result.

Original language	English (US)
Title of host publication	Conference Record of the 33rd Asilomar Conference on Signals, Systems, and Computers
Editors	Michael B. Matthews
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	85-89
Number of pages	5
ISBN (Electronic)	0780357000, 9780780357006
DOIs	https://doi.org/10.1109/ACSSC.1999.832301
State	Published - 1999
Externally published	Yes
Event	33rd Asilomar Conference on Signals, Systems, and Computers, ACSSC 1999 - Pacific Grove, United States Duration: Oct 24 1999 → Oct 27 1999

Publication series

Name	Conference Record of the 33rd Asilomar Conference on Signals, Systems, and Computers
Volume	1

Other

Other	33rd Asilomar Conference on Signals, Systems, and Computers, ACSSC 1999
Country/Territory	United States
City	Pacific Grove
Period	10/24/99 → 10/27/99

All Science Journal Classification (ASJC) codes

Signal Processing
Computer Networks and Communications

Access to Document

10.1109/ACSSC.1999.832301

Cite this

Chen, B., Petropulu, A. P., & Diamantaras, K. I. (1999). Error analysis of SOS-based MIMO system identification algorithm. In M. B. Matthews (Ed.), Conference Record of the 33rd Asilomar Conference on Signals, Systems, and Computers (pp. 85-89). [832301] (Conference Record of the 33rd Asilomar Conference on Signals, Systems, and Computers; Vol. 1). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACSSC.1999.832301

Chen, B. ; Petropulu, A. P. ; Diamantaras, K. I. / Error analysis of SOS-based MIMO system identification algorithm. Conference Record of the 33rd Asilomar Conference on Signals, Systems, and Computers. editor / Michael B. Matthews. Institute of Electrical and Electronics Engineers Inc., 1999. pp. 85-89 (Conference Record of the 33rd Asilomar Conference on Signals, Systems, and Computers).

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title = "Error analysis of SOS-based MIMO system identification algorithm",

abstract = "We consider the problem of identification of a n×n convolutive mixture. The sources are independent and non-white, with known statistics. We have recently proposed a second-order statistics based identification approach of Diamantaras, Petropulu and Chen (see IEEE Trans. on Signal Processing, 1999), that utilizes eigenvalue decomposition of second-order spectral correlations. In this paper we conduct a preliminary analysis of the method of Diamantaras et al., that provides some insight on the selection of parameters involved, and indicates how the channels/signals characteristics affect the reconstruction result.",

author = "B. Chen and Petropulu, {A. P.} and Diamantaras, {K. I.}",

note = "Funding Information: This work was supported by NSF under grant MIP-9553227. Publisher Copyright: {\textcopyright} 1999 IEEE.; 33rd Asilomar Conference on Signals, Systems, and Computers, ACSSC 1999 ; Conference date: 24-10-1999 Through 27-10-1999",

year = "1999",

doi = "10.1109/ACSSC.1999.832301",

language = "English (US)",

series = "Conference Record of the 33rd Asilomar Conference on Signals, Systems, and Computers",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "85--89",

editor = "Matthews, {Michael B.}",

booktitle = "Conference Record of the 33rd Asilomar Conference on Signals, Systems, and Computers",

address = "United States",

}

Chen, B, Petropulu, AP & Diamantaras, KI 1999, Error analysis of SOS-based MIMO system identification algorithm. in MB Matthews (ed.), Conference Record of the 33rd Asilomar Conference on Signals, Systems, and Computers., 832301, Conference Record of the 33rd Asilomar Conference on Signals, Systems, and Computers, vol. 1, Institute of Electrical and Electronics Engineers Inc., pp. 85-89, 33rd Asilomar Conference on Signals, Systems, and Computers, ACSSC 1999, Pacific Grove, United States, 10/24/99. https://doi.org/10.1109/ACSSC.1999.832301

Error analysis of SOS-based MIMO system identification algorithm. / Chen, B.; Petropulu, A. P.; Diamantaras, K. I.
Conference Record of the 33rd Asilomar Conference on Signals, Systems, and Computers. ed. / Michael B. Matthews. Institute of Electrical and Electronics Engineers Inc., 1999. p. 85-89 832301 (Conference Record of the 33rd Asilomar Conference on Signals, Systems, and Computers; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Error analysis of SOS-based MIMO system identification algorithm

AU - Chen, B.

AU - Petropulu, A. P.

AU - Diamantaras, K. I.

PY - 1999

Y1 - 1999

N2 - We consider the problem of identification of a n×n convolutive mixture. The sources are independent and non-white, with known statistics. We have recently proposed a second-order statistics based identification approach of Diamantaras, Petropulu and Chen (see IEEE Trans. on Signal Processing, 1999), that utilizes eigenvalue decomposition of second-order spectral correlations. In this paper we conduct a preliminary analysis of the method of Diamantaras et al., that provides some insight on the selection of parameters involved, and indicates how the channels/signals characteristics affect the reconstruction result.

AB - We consider the problem of identification of a n×n convolutive mixture. The sources are independent and non-white, with known statistics. We have recently proposed a second-order statistics based identification approach of Diamantaras, Petropulu and Chen (see IEEE Trans. on Signal Processing, 1999), that utilizes eigenvalue decomposition of second-order spectral correlations. In this paper we conduct a preliminary analysis of the method of Diamantaras et al., that provides some insight on the selection of parameters involved, and indicates how the channels/signals characteristics affect the reconstruction result.

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M3 - Conference contribution

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SP - 85

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BT - Conference Record of the 33rd Asilomar Conference on Signals, Systems, and Computers

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PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 33rd Asilomar Conference on Signals, Systems, and Computers, ACSSC 1999

Y2 - 24 October 1999 through 27 October 1999

ER -

Chen B, Petropulu AP, Diamantaras KI. Error analysis of SOS-based MIMO system identification algorithm. In Matthews MB, editor, Conference Record of the 33rd Asilomar Conference on Signals, Systems, and Computers. Institute of Electrical and Electronics Engineers Inc. 1999. p. 85-89. 832301. (Conference Record of the 33rd Asilomar Conference on Signals, Systems, and Computers). doi: 10.1109/ACSSC.1999.832301

Error analysis of SOS-based MIMO system identification algorithm

Abstract

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