Method of ionospheric data analysis based on a combination of wavelet transform and neural networks

被引：9

作者：

Mandrikova, O. ^{[1
]}

Polozov, Yu. ^{[1
]}

Geppener, V. ^{[2
]}

机构：

[1] RAS, Inst Cosmophys Res & Radio Wave Propagat FEB, Mirnaya Str 7, Paratunka 684034, Kamchatka Regio, Russia

[2] St Petersburg Electrotech Univ LETI, Ul Prof Popova 5, St Petersburg 197376, Russia

来源：

3RD INTERNATIONAL CONFERENCE INFORMATION TECHNOLOGY AND NANOTECHNOLOGY (ITNT-2017) | 2017年 / 201卷

基金：

俄罗斯科学基金会;

关键词：

wavelet-transform; neural networks; critical frequency of the ionosphere; ionospheric storms; anomalies; magnetic storms; MODEL;

D O I：

10.1016/j.proeng.2017.09.622

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The paper presents a hybrid system based on a combination of wavelet filtering operations and regression neural networks. The system is adapted to analyze the ionosphere data obtained at "Paratunka" station (Kamchatka). Testing of the system has shown its efficiency in the tasks of analysis of characteristic properties of ionospheric data and detection of anomalies occurring during disturbed periods. For a detailed analysis of anomalies, computing solutions based on the application of continuous wavelet transform and threshold functions were suggested. The developed computational tools were implemented in software environment (http://aurorasa.ikir.ru:8580). (C) 2017 The Authors. Published by Elsevier Ltd. Peer-review under responsibility of the scientific committee of the 3rd International Conference "Information Technology and Nanotechnology".

引用

页码：756 / 766

页数：11

共 50 条

[21] Neural data compression with wavelet transform: A vocabulary based approach
Narasimhan, Seetharam
Tabib-Azar, Massood
Chiel, Hillel J.
Bhunia, Swarup
[J]. 2007 3RD INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING, VOLS 1 AND 2, 2007, : 670 - +
[22] A neural and interpolation method for wavelet transform based image compression
Ashutosh, D.
Bose, N. Subhash Chandra
Kandula, Prabhanjan
Kalra, Prem K.
[J]. TENCON 2007 - 2007 IEEE REGION 10 CONFERENCE, VOLS 1-3, 2007, : 817 - 820
[23] An image compression method based on wavelet transform and neural network
Zhang, Suqing
Wang, Aiqiang
[J]. Telkomnika (Telecommunication Computing Electronics and Control), 2015, 13 (02) : 587 - 596
[24] Context-Aware Hand Pose Classifying Algorithm Based on Combination of Viola-Jones Method, Wavelet Transform, PCA and Neural Networks
Ngoc Hoang Phan
Thi Thu Trang Bui
[J]. CONTEXT-AWARE SYSTEMS AND APPLICATIONS (ICCASA 2016), 2017, 193 : 42 - 51
[25] Patterns Analysis In Mammography Images Using A Wavelet Transform And Neural Networks
Ponomaryov, Volodymyr
Juarez-Landin, Cristina
Sanchez-Ramirez, Jose Luis
Nino-de-Rivera, Luis
[J]. ANALYSIS OF BIOMEDICAL SIGNALS AND IMAGES, 2008, : 304 - 307
[26] Application of wavelet neural networks in multivariate data analysis
Khayamian, T
Esteki, M
Abbasi, A
[J]. Progress in Chemometrics Research, 2005, : 37 - 41
[27] An uplink data transmission method based on wavelet packet transform coding in passive optical networks
Li, Yuan
Wang, Yimeng
Li, Wei
Han, Jilong
He, Zhixue
Hu, Rong
Yu, Shaohua
Qi, Yang
[J]. PHOTONIC NETWORK COMMUNICATIONS, 2015, 29 (01) : 32 - 39
[28] Identification and Classification of Signal Distortions Based on Wavelet Transform and Neural Networks
Rykov, A.
Luppov, A.
Krasikov, M.
[J]. 2018 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING, APPLICATIONS AND MANUFACTURING (ICIEAM), 2018,
[29] Neural Networks and Wavelet Transform in Waveform Approximation
Farago, Paul
Oltean, Gabriel
Ivanciu, Laura-Nicoleta
[J]. 2014 14TH UK WORKSHOP ON COMPUTATIONAL INTELLIGENCE (UKCI), 2014, : 96 - 103
[30] An uplink data transmission method based on wavelet packet transform coding in passive optical networks
Yuan Li
Yimeng Wang
Wei Li
Jilong Han
Zhixue He
Rong Hu
Shaohua Yu
Yang Qi
[J]. Photonic Network Communications, 2015, 29 : 32 - 39

← 1 2 3 4 5 →