Analysis using Bi-spectral related technique
By: by Ralph Hippenstiel
Contributors: Naval Postgraduate School (U.S.). Dept. of Electrical and Computer Engineering
Publisher: Naval Postgraduate School; Available from National Technical Information Service
Published: 1993
Place of publication: Monterey, Calif; Springfield, Va
Language: eng
Number of pages: 57
Subjects: POWER SPECTRA; GAUSSIAN NOISE; ACOUSTIC DATA
Other titles: NPS-EC-93-020.
Description: This report investigates the use of Bi-spectral related techniques to extract      detection/classification clues from time frequency representations. Earlier results have      indicated that 1.5-D spectral techniques (a degenerate version of the Bi-spectrum) has      potential Signal to Noise Ratio (SNR) gain over conventional techniques. This is partially      due to the rejection of Gaussian like perturbations by the cumulant based techniques. The      third order moment for Gaussian zero mean random processes is essentially zero. It is      assumed that (1) the independence of the Instantaneous Power Spectrum (IPS) from      analytic signal representations and (2) the Gaussian character of the noise causes minimal      distortion of the output vaxiables, hence permit signal characterization at low to moderate      SNRs. The per rm ce is demonstrated on (1) synthetic signals and (2) on segment(s) of      the NOSC data set. Spectral estimation, Instantaneous spectrum, Bi-spectrum, Cumulant      based spectrum, Detection.
Notes: Title from cover.

"NPS-EC-93-020."

"November 17, 1993."

AD A276 017.

Includes bibliographical references (p. 52)

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