The utility of higher-order statistics in Gaussian noise suppression

Approved for public release; distribution is unlimited. === The use of higher-order statistics provides insight into signals which is not always available at lower orders. Additionally, Gaussian-distributed signals have the interesting characteristic of disappearing at higher orders. Because so much...

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Bibliographic Details
Main Author: Green, Donald R.
Other Authors: Therrien, Charles W.
Format: Others
Published: Monterey, California. Naval Postgraduate School Marc
Subjects:
Online Access:http://hdl.handle.net/10945/1108
Description
Summary:Approved for public release; distribution is unlimited. === The use of higher-order statistics provides insight into signals which is not always available at lower orders. Additionally, Gaussian-distributed signals have the interesting characteristic of disappearing at higher orders. Because so much of the noise and inter- ference environment is Gaussian-distributed, higher-order statistics thus offer the promise of an additional method of noise reduction and interference mitigation. As communica- tions signals become more and more complex, any additional ability to reduce the effects of noise and interference will have a profound impact on communications, surveillance, and intelligence systems. === US Department of Defense author (civilian).