Degeneracy in non-linear predictors

B. Mulgrew; K. Nisbet; S. McLaughlin

Degeneracy in non-linear predictors

B. Mulgrew, K. Nisbet, S. McLaughlin

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

Abstract

This paper describes an initial attempt to reduce the complexity of Volterra series and radial basis function nonlinear predictors. The algorithm used exploits signal subspace concepts to reduce the number of nonlinear terms while attempting to maintain the same MSE performance.

Original language	English
Title of host publication	Signal Processing VI Theories and Applications
Subtitle of host publication	Proceedings of EUSIPCO-92, Sixth European Signal Processing Conference, Brussels, Belgium, August 24-27, 1992
Editors	J. Vandewalle, R. Boite, M. Moonen, A. Oosterlinck
Place of Publication	Amsterdam
Publisher	Elsevier Science Publishers B.V.
Pages	791-794
Number of pages	4
Volume	II
ISBN (Print)	0444895876
Publication status	Published - 1992
Externally published	Yes
Event	6th European Signal Processing Conference - Brussels, Belgium Duration: 24 Aug 1992 → 27 Aug 1992

Conference

Conference	6th European Signal Processing Conference
Abbreviated title	EUSIPCO 92
Country/Territory	Belgium
City	Brussels
Period	24/08/92 → 27/08/92

Access to Document

https://www.eurasip.org/Proceedings/Eusipco/Eusipco1992/EUSIPCO92_VolII.pdf

Cite this

Mulgrew, B., Nisbet, K., & McLaughlin, S. (1992). Degeneracy in non-linear predictors. In J. Vandewalle, R. Boite, M. Moonen, & A. Oosterlinck (Eds.), Signal Processing VI Theories and Applications: Proceedings of EUSIPCO-92, Sixth European Signal Processing Conference, Brussels, Belgium, August 24-27, 1992 (Vol. II, pp. 791-794). Elsevier Science Publishers B.V.. https://www.eurasip.org/Proceedings/Eusipco/Eusipco1992/EUSIPCO92_VolII.pdf

Mulgrew, B. ; Nisbet, K. ; McLaughlin, S. / Degeneracy in non-linear predictors. Signal Processing VI Theories and Applications: Proceedings of EUSIPCO-92, Sixth European Signal Processing Conference, Brussels, Belgium, August 24-27, 1992. editor / J. Vandewalle ; R. Boite ; M. Moonen ; A. Oosterlinck. Vol. II Amsterdam : Elsevier Science Publishers B.V., 1992. pp. 791-794

@inproceedings{d4c54c0d48764805ba90f229e904da39,

title = "Degeneracy in non-linear predictors",

abstract = "This paper describes an initial attempt to reduce the complexity of Volterra series and radial basis function nonlinear predictors. The algorithm used exploits signal subspace concepts to reduce the number of nonlinear terms while attempting to maintain the same MSE performance.",

author = "B. Mulgrew and K. Nisbet and S. McLaughlin",

year = "1992",

language = "English",

isbn = "0444895876",

volume = "II",

pages = "791--794",

editor = "J. Vandewalle and R. Boite and M. Moonen and A. Oosterlinck",

booktitle = "Signal Processing VI Theories and Applications",

publisher = "Elsevier Science Publishers B.V.",

note = "6th European Signal Processing Conference, EUSIPCO 92 ; Conference date: 24-08-1992 Through 27-08-1992",

}

Mulgrew, B, Nisbet, K & McLaughlin, S 1992, Degeneracy in non-linear predictors. in J Vandewalle, R Boite, M Moonen & A Oosterlinck (eds), Signal Processing VI Theories and Applications: Proceedings of EUSIPCO-92, Sixth European Signal Processing Conference, Brussels, Belgium, August 24-27, 1992. vol. II, Elsevier Science Publishers B.V., Amsterdam, pp. 791-794, 6th European Signal Processing Conference, Brussels, Belgium, 24/08/92. <https://www.eurasip.org/Proceedings/Eusipco/Eusipco1992/EUSIPCO92_VolII.pdf>

Degeneracy in non-linear predictors. / Mulgrew, B.; Nisbet, K.; McLaughlin, S.
Signal Processing VI Theories and Applications: Proceedings of EUSIPCO-92, Sixth European Signal Processing Conference, Brussels, Belgium, August 24-27, 1992. ed. / J. Vandewalle; R. Boite; M. Moonen; A. Oosterlinck. Vol. II Amsterdam: Elsevier Science Publishers B.V., 1992. p. 791-794.

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

TY - GEN

T1 - Degeneracy in non-linear predictors

AU - Mulgrew, B.

AU - Nisbet, K.

AU - McLaughlin, S.

PY - 1992

Y1 - 1992

N2 - This paper describes an initial attempt to reduce the complexity of Volterra series and radial basis function nonlinear predictors. The algorithm used exploits signal subspace concepts to reduce the number of nonlinear terms while attempting to maintain the same MSE performance.

AB - This paper describes an initial attempt to reduce the complexity of Volterra series and radial basis function nonlinear predictors. The algorithm used exploits signal subspace concepts to reduce the number of nonlinear terms while attempting to maintain the same MSE performance.

M3 - Conference contribution

SN - 0444895876

VL - II

SP - 791

EP - 794

BT - Signal Processing VI Theories and Applications

A2 - Vandewalle, J.

A2 - Boite, R.

A2 - Moonen, M.

A2 - Oosterlinck, A.

PB - Elsevier Science Publishers B.V.

CY - Amsterdam

T2 - 6th European Signal Processing Conference

Y2 - 24 August 1992 through 27 August 1992

ER -

Degeneracy in non-linear predictors

Abstract

Conference

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