Nonlinear Transformer with Variance Stabilization for Non-Gaussian Noise Suppression
The problem of approximation of nonlinear characteristic of weak signal detection in the form of polynomial function connected with integral distribution law is considered. The variance of this approximation does not depend on the kind and the parameters of the input non-Gaussian distribution. The a...
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Language: | Russian |
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Saint Petersburg Electrotechnical University "LETI"
2017-08-01
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Series: | Известия высших учебных заведений России: Радиоэлектроника |
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Online Access: | https://re.eltech.ru/jour/article/view/178 |
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author | V. A. Danilov L. V. Danilova |
author_facet | V. A. Danilov L. V. Danilova |
author_sort | V. A. Danilov |
collection | DOAJ |
description | The problem of approximation of nonlinear characteristic of weak signal detection in the form of polynomial function connected with integral distribution law is considered. The variance of this approximation does not depend on the kind and the parameters of the input non-Gaussian distribution. The article provides benchmarking of applying of polynomial function in case of sinusoidal noise when the noise is the sum of harmonic vibrancy and Gaussian noise. The noises with different spectral characteristics are analyzed. With radiofrequency noise spectrum the efficiency of the applied transformer may grow to considerably high values at the current stabilizing characteristics. |
format | Article |
id | doaj-art-c9199f7d12d44be0a6370ef5739aec2f |
institution | Matheson Library |
issn | 1993-8985 2658-4794 |
language | Russian |
publishDate | 2017-08-01 |
publisher | Saint Petersburg Electrotechnical University "LETI" |
record_format | Article |
series | Известия высших учебных заведений России: Радиоэлектроника |
spelling | doaj-art-c9199f7d12d44be0a6370ef5739aec2f2025-08-03T19:50:25ZrusSaint Petersburg Electrotechnical University "LETI"Известия высших учебных заведений России: Радиоэлектроника1993-89852658-47942017-08-0104511178Nonlinear Transformer with Variance Stabilization for Non-Gaussian Noise SuppressionV. A. Danilov0L. V. Danilova1North Caucasian Branch of Moscow Technical University of Communications and Informatics (Rostov-on-Don)Rostov State University of Transport CommunicationsThe problem of approximation of nonlinear characteristic of weak signal detection in the form of polynomial function connected with integral distribution law is considered. The variance of this approximation does not depend on the kind and the parameters of the input non-Gaussian distribution. The article provides benchmarking of applying of polynomial function in case of sinusoidal noise when the noise is the sum of harmonic vibrancy and Gaussian noise. The noises with different spectral characteristics are analyzed. With radiofrequency noise spectrum the efficiency of the applied transformer may grow to considerably high values at the current stabilizing characteristics.https://re.eltech.ru/jour/article/view/178nonlinear transformervariance stabilizationnon-gaussian noiseprobability densitysuppression efficiency |
spellingShingle | V. A. Danilov L. V. Danilova Nonlinear Transformer with Variance Stabilization for Non-Gaussian Noise Suppression Известия высших учебных заведений России: Радиоэлектроника nonlinear transformer variance stabilization non-gaussian noise probability density suppression efficiency |
title | Nonlinear Transformer with Variance Stabilization for Non-Gaussian Noise Suppression |
title_full | Nonlinear Transformer with Variance Stabilization for Non-Gaussian Noise Suppression |
title_fullStr | Nonlinear Transformer with Variance Stabilization for Non-Gaussian Noise Suppression |
title_full_unstemmed | Nonlinear Transformer with Variance Stabilization for Non-Gaussian Noise Suppression |
title_short | Nonlinear Transformer with Variance Stabilization for Non-Gaussian Noise Suppression |
title_sort | nonlinear transformer with variance stabilization for non gaussian noise suppression |
topic | nonlinear transformer variance stabilization non-gaussian noise probability density suppression efficiency |
url | https://re.eltech.ru/jour/article/view/178 |
work_keys_str_mv | AT vadanilov nonlineartransformerwithvariancestabilizationfornongaussiannoisesuppression AT lvdanilova nonlineartransformerwithvariancestabilizationfornongaussiannoisesuppression |