Study of the Method of Multi-Frequency Signal Detection Based on the Adaptive Stochastic Resonance
Recently, the stochastic resonance effect has been widely used by the method of discovering and extracting weak periodic signals from strong noise through the stochastic resonance effect. The detection of the single-frequency weak signals by using stochastic resonance effect is widely used. However,...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2013/420605 |
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| _version_ | 1849308123895955456 |
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| author | Zhenyu Lu Tingya Yang Min Zhu |
| author_facet | Zhenyu Lu Tingya Yang Min Zhu |
| author_sort | Zhenyu Lu |
| collection | DOAJ |
| description | Recently, the stochastic resonance effect has been widely used by the method of discovering and extracting weak periodic signals from strong noise through the stochastic resonance effect. The detection of the single-frequency weak signals by using stochastic resonance effect is widely used. However, the detection methods of the multifrequency weak signals need to be researched. According to the different frequency input signals of a given system, this paper puts forward a detection method of multifrequency signal by using adaptive stochastic resonance, which analyzed the frequency characteristics and the parallel number of the input signals, adjusted system parameters automatically to the low frequency signals in the fixed step size, and then measured the stochastic resonance phenomenon based on the frequency of the periodic signals to select the most appropriate indicators in the middle or high frequency. Finally, the optimized system parameters are founded and the frequency of the given signals is extracted in the frequency domain of the stochastic resonance output signals. Compared with the traditional detection methods, the method in this paper not only improves the work efficiency but also makes it more accurate by using the color noise, the frequency is more accurate being extracted from the measured signal. The consistency between the simulation results and analysis shows that this method is effective and feasible. |
| format | Article |
| id | doaj-art-13fea6a8ccab4133afff85b05b6ebccb |
| institution | Kabale University |
| issn | 1085-3375 1687-0409 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Abstract and Applied Analysis |
| spelling | doaj-art-13fea6a8ccab4133afff85b05b6ebccb2025-08-20T03:54:33ZengWileyAbstract and Applied Analysis1085-33751687-04092013-01-01201310.1155/2013/420605420605Study of the Method of Multi-Frequency Signal Detection Based on the Adaptive Stochastic ResonanceZhenyu Lu0Tingya Yang1Min Zhu2College of Electrical and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaJiangsu Meteorological Observatory, Nanjing 210008, ChinaCollege of Information and Control, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaRecently, the stochastic resonance effect has been widely used by the method of discovering and extracting weak periodic signals from strong noise through the stochastic resonance effect. The detection of the single-frequency weak signals by using stochastic resonance effect is widely used. However, the detection methods of the multifrequency weak signals need to be researched. According to the different frequency input signals of a given system, this paper puts forward a detection method of multifrequency signal by using adaptive stochastic resonance, which analyzed the frequency characteristics and the parallel number of the input signals, adjusted system parameters automatically to the low frequency signals in the fixed step size, and then measured the stochastic resonance phenomenon based on the frequency of the periodic signals to select the most appropriate indicators in the middle or high frequency. Finally, the optimized system parameters are founded and the frequency of the given signals is extracted in the frequency domain of the stochastic resonance output signals. Compared with the traditional detection methods, the method in this paper not only improves the work efficiency but also makes it more accurate by using the color noise, the frequency is more accurate being extracted from the measured signal. The consistency between the simulation results and analysis shows that this method is effective and feasible.http://dx.doi.org/10.1155/2013/420605 |
| spellingShingle | Zhenyu Lu Tingya Yang Min Zhu Study of the Method of Multi-Frequency Signal Detection Based on the Adaptive Stochastic Resonance Abstract and Applied Analysis |
| title | Study of the Method of Multi-Frequency Signal Detection Based on the Adaptive Stochastic Resonance |
| title_full | Study of the Method of Multi-Frequency Signal Detection Based on the Adaptive Stochastic Resonance |
| title_fullStr | Study of the Method of Multi-Frequency Signal Detection Based on the Adaptive Stochastic Resonance |
| title_full_unstemmed | Study of the Method of Multi-Frequency Signal Detection Based on the Adaptive Stochastic Resonance |
| title_short | Study of the Method of Multi-Frequency Signal Detection Based on the Adaptive Stochastic Resonance |
| title_sort | study of the method of multi frequency signal detection based on the adaptive stochastic resonance |
| url | http://dx.doi.org/10.1155/2013/420605 |
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