1984
DOI: 10.1109/tcom.1984.1096037
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Threshold Detection in Narrow-Band Non-Gaussian Noise

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Cited by 147 publications
(68 citation statements)
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“…This non-Gaussian noise [1] which is prevalent because of either man made noise sources or natural phenomena can be momentous in many applications and must be taken into consideration to improve system performance. Automobile ignitions, neon lights and many other electronic devices are the common source of man made noise.…”
Section: N Various Communication Environments the Gaussian Noisementioning
confidence: 99%
See 1 more Smart Citation
“…This non-Gaussian noise [1] which is prevalent because of either man made noise sources or natural phenomena can be momentous in many applications and must be taken into consideration to improve system performance. Automobile ignitions, neon lights and many other electronic devices are the common source of man made noise.…”
Section: N Various Communication Environments the Gaussian Noisementioning
confidence: 99%
“…Automobile ignitions, neon lights and many other electronic devices are the common source of man made noise. On the other hand, lightning discharges, impulsive interference in power line channels or in undersea communication systems noisy aquatic animals or surrounding acoustical noises due to ice cracking in arctic regions are the innate means of the occurrence of impulsive noise [1].…”
Section: N Various Communication Environments the Gaussian Noisementioning
confidence: 99%
“…The mixing parameter regulates the contribution of the non-Gaussian component. Usually it varies between 0:01 to 0:25 [7].…”
Section: Filtering In Non-gaussian Noisementioning
confidence: 99%
“…When a Gaussian density with large variance is used to emulate the non-Gaussian dominant component, the ratio of the dominant to nominal density variances k is on the order of 10 to 10; 000 [7], [8]. Due to its flexibility, many different naturally occurring noise distribution shapes can be approximated using the , mixture approach.…”
Section: Filtering In Non-gaussian Noisementioning
confidence: 99%
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