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Nonlinear real-life signal detection with a supervised principal components analysis
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10.1063/1.2437579
/content/aip/journal/chaos/17/1/10.1063/1.2437579
http://aip.metastore.ingenta.com/content/aip/journal/chaos/17/1/10.1063/1.2437579
View: Figures

Figures

Image of FIG. 1.
FIG. 1.

(Color online) Time evolution of EM signals.

Image of FIG. 2.
FIG. 2.

(Color online) Frequency spectra of EM signals.

Image of FIG. 3.
FIG. 3.

(Color online) Frequency spectra of the detected EM signals using the standard PCA algorithm (2) .

Image of FIG. 4.
FIG. 4.

(Color online) Frequency spectra of the detected EM signals using SPCA, where the frequency band of the added signal is extracted out.

Image of FIG. 5.
FIG. 5.

(Color online) Detection performance of the SPCA detector. The probability of detection for both the transmission power being and is 100%, which is not plotted in this diagram.

Image of FIG. 6.
FIG. 6.

(Color online) The probability of detection for different transmission power with the probability of false alarm .

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/content/aip/journal/chaos/17/1/10.1063/1.2437579
2007-02-06
2014-04-16
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Nonlinear real-life signal detection with a supervised principal components analysis
http://aip.metastore.ingenta.com/content/aip/journal/chaos/17/1/10.1063/1.2437579
10.1063/1.2437579
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