In this communication, time varying higher order spectra and specifically multitime-frequency representations have been used for detection and classification purposes. A new detector is presented for frequency modulation disrupted by multiplicative and additive noise. A statistical study is performed and corresponding simulations are presented. An extension to multiple hypothesis testing is also presented to classify neighboring frequency modulations in a context of multiplicative and additive noise. Some simulations illustrate the performance of our approach compared to the similar second order approach(more)
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%0 Conference Proceedings
%1 citeulike:3395719
%A Colas, M.
%A Gelle, G.
%A Galy, J.
%A Delaunay, G.
%B Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on
%D 2000
%J Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on
%K classification, processing, signal
%P 655--659
%R 10.1109/SSAP.2000.870207
%T A multitime-frequency approach for detection and classification of noisy frequency modulations
%U http://dx.doi.org/10.1109/SSAP.2000.870207
%X In this communication, time varying higher order spectra and specifically multitime-frequency representations have been used for detection and classification purposes. A new detector is presented for frequency modulation disrupted by multiplicative and additive noise. A statistical study is performed and corresponding simulations are presented. An extension to multiple hypothesis testing is also presented to classify neighboring frequency modulations in a context of multiplicative and additive noise. Some simulations illustrate the performance of our approach compared to the similar second order approach
@proceedings{citeulike:3395719,
abstract = {{In this communication, time varying higher order spectra and specifically multitime-frequency representations have been used for detection and classification purposes. A new detector is presented for frequency modulation disrupted by multiplicative and additive noise. A statistical study is performed and corresponding simulations are presented. An extension to multiple hypothesis testing is also presented to classify neighboring frequency modulations in a context of multiplicative and additive noise. Some simulations illustrate the performance of our approach compared to the similar second order approach}},
added-at = {2012-03-02T03:39:18.000+0100},
author = {Colas, M. and Gelle, G. and Galy, J. and Delaunay, G.},
biburl = {https://www.bibsonomy.org/bibtex/24c1303ce03c290f1d30c2f30e247d798/baby9992006},
booktitle = {Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on},
citeulike-article-id = {3395719},
citeulike-linkout-0 = {http://dx.doi.org/10.1109/SSAP.2000.870207},
citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=870207},
doi = {10.1109/SSAP.2000.870207},
interhash = {a15272945a93a254ae7772719ffcf547},
intrahash = {4c1303ce03c290f1d30c2f30e247d798},
journal = {Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on},
keywords = {classification, processing, signal},
pages = {655--659},
posted-at = {2012-03-01 12:19:38},
priority = {2},
timestamp = {2012-03-02T03:39:19.000+0100},
title = {{A multitime-frequency approach for detection and classification of noisy frequency modulations}},
url = {http://dx.doi.org/10.1109/SSAP.2000.870207},
year = 2000
}