A map solution to off-line segmentation of signals

Petar M. Djurić

doi:10.1109/ICASSP.1994.389769

A map solution to off-line segmentation of signals

Petar M. Djurić

Electrical Engineering

Research output: Contribution to journal › Conference article › peer-review

15 Scopus citations

Abstract

A new criterion for off-line segmentation of signals is proposed. The derivation is general in the sense that it is valid for signals that are parameterized by linear or nonlinear functions embedded in additive noise, be it non-white or non-Gaussian. In addition, a penalty function is developed whose terms are easily justified and interpreted. As a special case, a criterion for segmentation of polynomial signals in white Gaussian noise is analyzed and compared with the AIC and MDL. The simulation results show that our criterion markedly outperforms its popular counterparts.

Original language	English
Article number	389769
Pages (from-to)	IV505-IV508
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	4
DOIs	https://doi.org/10.1109/ICASSP.1994.389769
State	Published - 1994
Event	Proceedings of the 1994 IEEE International Conference on Acoustics, Speech and Signal Processing. Part 2 (of 6) - Adelaide, Aust Duration: Apr 19 1994 → Apr 22 1994

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10.1109/ICASSP.1994.389769

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title = "A map solution to off-line segmentation of signals",

abstract = "A new criterion for off-line segmentation of signals is proposed. The derivation is general in the sense that it is valid for signals that are parameterized by linear or nonlinear functions embedded in additive noise, be it non-white or non-Gaussian. In addition, a penalty function is developed whose terms are easily justified and interpreted. As a special case, a criterion for segmentation of polynomial signals in white Gaussian noise is analyzed and compared with the AIC and MDL. The simulation results show that our criterion markedly outperforms its popular counterparts.",

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AU - Djurić, Petar M.

PY - 1994

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N2 - A new criterion for off-line segmentation of signals is proposed. The derivation is general in the sense that it is valid for signals that are parameterized by linear or nonlinear functions embedded in additive noise, be it non-white or non-Gaussian. In addition, a penalty function is developed whose terms are easily justified and interpreted. As a special case, a criterion for segmentation of polynomial signals in white Gaussian noise is analyzed and compared with the AIC and MDL. The simulation results show that our criterion markedly outperforms its popular counterparts.

AB - A new criterion for off-line segmentation of signals is proposed. The derivation is general in the sense that it is valid for signals that are parameterized by linear or nonlinear functions embedded in additive noise, be it non-white or non-Gaussian. In addition, a penalty function is developed whose terms are easily justified and interpreted. As a special case, a criterion for segmentation of polynomial signals in white Gaussian noise is analyzed and compared with the AIC and MDL. The simulation results show that our criterion markedly outperforms its popular counterparts.

UR - https://www.scopus.com/pages/publications/0043145535

U2 - 10.1109/ICASSP.1994.389769

DO - 10.1109/ICASSP.1994.389769

M3 - Conference article

AN - SCOPUS:0043145535

SN - 0736-7791

VL - 4

SP - IV505-IV508

JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

JF - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

M1 - 389769

T2 - Proceedings of the 1994 IEEE International Conference on Acoustics, Speech and Signal Processing. Part 2 (of 6)

Y2 - 19 April 1994 through 22 April 1994

ER -

A map solution to off-line segmentation of signals

Abstract

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