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Proceedings Paper

Image reconstruction using higher order statistics information
Author(s): Jun Liu; Boon-Hee Soong
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Paper Abstract

The higher order cumulants and their Fourier transforms, polyspectra, are used in order to achieve a number of objects which may not be possible to obtain using second order statistics. In this paper, we study different approaches to estimate the bispectrum and apply the result to the image reconstruction and communication signal identification. One of the key advantages of using cumulants in the signal processing are is that cumulants are blind to all kinds of Gaussian processes. Thus, when a cumulants method is used on non-Gaussian signals polluted by additive Gaussian noise, it will improve the signal/noise ratio.

Paper Details

Date Published: 16 December 1992
PDF: 7 pages
Proc. SPIE 1766, Neural and Stochastic Methods in Image and Signal Processing, (16 December 1992); doi: 10.1117/12.130878
Show Author Affiliations
Jun Liu, Nanyang Technological Institute (Singapore)
Boon-Hee Soong, Nanyang Technological Institute (Singapore)

Published in SPIE Proceedings Vol. 1766:
Neural and Stochastic Methods in Image and Signal Processing
Su-Shing Chen, Editor(s)

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