The utility of higher-order statistics in Gaussian noise suppression

• Main Author: Green, Donald R.
• Other Authors: Therrien, Charles W.
• Format: Others
• Published: Monterey, California. Naval Postgraduate School Marc
• Subjects: Signal processing; Noise control; Gaussian distribution
• Online Access: http://hdl.handle.net/10945/1108

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).