DocumentCode :
2976185
Title :
Bispectral analysis of underwater EM pulses
Author :
Persson, L. ; Asraf, D.E. ; Sigray, P. ; Krylstedt, P. ; Hinich, M.J.
Author_Institution :
Defence Res. Establ., Stockholm, Sweden
fYear :
1999
fDate :
1999
Firstpage :
357
Lastpage :
361
Abstract :
In this paper we investigate the higher-order spectral properties of an electromagnetic (EM) transmission channel. We use higher-order moments ensemble averaging of received real underwater EM pulses for signal to noise enhancement and discuss appropriate features based on bicoherence and the cross-bispectrum for object classification. The reconstructed signal y˜(n) is estimated from the bicepstrum. This technique is shown to outperform conventional stacking techniques. We use bicoherence for estimation of nonlinear properties in the received pulses. There are no significant quadratic nonlinear contributions in the signal. The non-linearities are essential around the power supply frequency and at a region above 17 kHz. Finally an analysis of the transfer function based on the cross-bispectrum is given. At several frequencies in the signal bandwidth there is a significant part with nonlinear gain
Keywords :
higher order statistics; object recognition; signal classification; signal reconstruction; spectral analysis; transfer functions; bicepstrum; bicoherence; bispectral analysis; conventional stacking techniques; cross-bispectrum; electromagnetic transmission channel; higher-order moments ensemble averaging; higher-order spectral properties; nonlinear gain; nonlinear properties; object classification; received pulses; received real underwater EM pulses; reconstructed signal; signal bandwidth; signal to noise enhancement; transfer function; underwater EM pulses; Bandwidth; Ear; Electrical capacitance tomography; Electromagnetic propagation; Higher order statistics; Laboratories; Linearity; Nonlinear distortion; Read only memory; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Higher-Order Statistics, 1999. Proceedings of the IEEE Signal Processing Workshop on
Conference_Location :
Caesarea
Print_ISBN :
0-7695-0140-0
Type :
conf
DOI :
10.1109/HOST.1999.778758
Filename :
778758
Link To Document :
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