Extraction of almost periodic signals using cyclostationarity

Amod V. Dandawaté; Georgios B. Giannakis

doi:10.1109/ICASSP.1994.389851

Extraction of almost periodic signals using cyclostationarity

Amod V. Dandawaté, Georgios B. Giannakis

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

3 Scopus citations

Abstract

Extraction of almost periodic signals from their noisy observations is accomplished by exploiting cyclostationaxity. The additive noise is allowed to he generally cyclostation-axy with unknown distribution. Consistency of the proposed estimators is proved and their asymptotic properties are presented. Further, adaptive algorithms are employed for tracking possible time-variations in the parameters of the almost periodic signal. Finally, the proposed methods are tested via simulations.

Original language	English (US)
Article number	389851
Pages (from-to)	IV141-IV144
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	4
DOIs	https://doi.org/10.1109/ICASSP.1994.389851
State	Published - 1994
Externally published	Yes
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

Bibliographical note

Funding Information:
for extraction of p(t). Results corresponding Fig. 2 are shown in Fig. 4. Acknowledgment : Thia rewax& WM funded by ONR Grant N00014-93-1-0465.

Publisher Copyright:
© 1994 IEEE.

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10.1109/ICASSP.1994.389851

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title = "Extraction of almost periodic signals using cyclostationarity",

abstract = "Extraction of almost periodic signals from their noisy observations is accomplished by exploiting cyclostationaxity. The additive noise is allowed to he generally cyclostation-axy with unknown distribution. Consistency of the proposed estimators is proved and their asymptotic properties are presented. Further, adaptive algorithms are employed for tracking possible time-variations in the parameters of the almost periodic signal. Finally, the proposed methods are tested via simulations.",

author = "Dandawat{\'e}, {Amod V.} and Giannakis, {Georgios B.}",

note = "Funding Information: for extraction of p(t). Results corresponding Fig. 2 are shown in Fig. 4. Acknowledgment : Thia rewax& WM funded by ONR Grant N00014-93-1-0465. Publisher Copyright: {\textcopyright} 1994 IEEE.; Proceedings of the 1994 IEEE International Conference on Acoustics, Speech and Signal Processing. Part 2 (of 6) ; Conference date: 19-04-1994 Through 22-04-1994",

year = "1994",

doi = "10.1109/ICASSP.1994.389851",

language = "English (US)",

volume = "4",

pages = "IV141--IV144",

journal = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

issn = "1520-6149",

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

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T1 - Extraction of almost periodic signals using cyclostationarity

AU - Dandawaté, Amod V.

AU - Giannakis, Georgios B.

N1 - Funding Information: for extraction of p(t). Results corresponding Fig. 2 are shown in Fig. 4. Acknowledgment : Thia rewax& WM funded by ONR Grant N00014-93-1-0465. Publisher Copyright: © 1994 IEEE.

PY - 1994

Y1 - 1994

N2 - Extraction of almost periodic signals from their noisy observations is accomplished by exploiting cyclostationaxity. The additive noise is allowed to he generally cyclostation-axy with unknown distribution. Consistency of the proposed estimators is proved and their asymptotic properties are presented. Further, adaptive algorithms are employed for tracking possible time-variations in the parameters of the almost periodic signal. Finally, the proposed methods are tested via simulations.

AB - Extraction of almost periodic signals from their noisy observations is accomplished by exploiting cyclostationaxity. The additive noise is allowed to he generally cyclostation-axy with unknown distribution. Consistency of the proposed estimators is proved and their asymptotic properties are presented. Further, adaptive algorithms are employed for tracking possible time-variations in the parameters of the almost periodic signal. Finally, the proposed methods are tested via simulations.

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UR - http://www.scopus.com/inward/citedby.url?scp=84885478324&partnerID=8YFLogxK

U2 - 10.1109/ICASSP.1994.389851

DO - 10.1109/ICASSP.1994.389851

M3 - Conference article

AN - SCOPUS:84885478324

SN - 1520-6149

VL - 4

SP - IV141-IV144

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 - 389851

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 -

Extraction of almost periodic signals using cyclostationarity

Abstract

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