Rapid Binary Gage Function to Extract a Pulsed Signal Buried in Noise
<p/> <p>The type of signal studied in this paper is a periodic pulse, with the pulse length short compared to the period, and the signal is buried in noise. If standard techniques such as the fast Fourier transform are used to study the signal, the data record needs to be very long. Addi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2004-01-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1155/S111086570440701X |
| _version_ | 1811213314102919168 |
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| author | Bagaria William J Fahey Richard P Garcia Sonia MF Ratcliffe Colin |
| author_facet | Bagaria William J Fahey Richard P Garcia Sonia MF Ratcliffe Colin |
| author_sort | Bagaria William J |
| collection | DOAJ |
| description | <p/> <p>The type of signal studied in this paper is a periodic pulse, with the pulse length short compared to the period, and the signal is buried in noise. If standard techniques such as the fast Fourier transform are used to study the signal, the data record needs to be very long. Additionally, there would be a very large number of calculations. The rapid binary gage function was developed to quickly determine the period of the signal, and the start time of the first pulse in the data. Once these two parameters are determined, the pulsed signal can be recovered using a standard data folding and adding technique.</p> |
| first_indexed | 2024-04-12T05:43:39Z |
| format | Article |
| id | doaj.art-e5992b2244f34a71a2437cdbe1ca5ad5 |
| institution | Directory Open Access Journal |
| issn | 1687-6172 1687-6180 |
| language | English |
| last_indexed | 2024-04-12T05:43:39Z |
| publishDate | 2004-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Advances in Signal Processing |
| spelling | doaj.art-e5992b2244f34a71a2437cdbe1ca5ad52022-12-22T03:45:31ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802004-01-01200413429289Rapid Binary Gage Function to Extract a Pulsed Signal Buried in NoiseBagaria William JFahey Richard PGarcia Sonia MFRatcliffe Colin<p/> <p>The type of signal studied in this paper is a periodic pulse, with the pulse length short compared to the period, and the signal is buried in noise. If standard techniques such as the fast Fourier transform are used to study the signal, the data record needs to be very long. Additionally, there would be a very large number of calculations. The rapid binary gage function was developed to quickly determine the period of the signal, and the start time of the first pulse in the data. Once these two parameters are determined, the pulsed signal can be recovered using a standard data folding and adding technique.</p>http://dx.doi.org/10.1155/S111086570440701Xrapid binary gage functionsignalpulsed signalnoise |
| spellingShingle | Bagaria William J Fahey Richard P Garcia Sonia MF Ratcliffe Colin Rapid Binary Gage Function to Extract a Pulsed Signal Buried in Noise EURASIP Journal on Advances in Signal Processing rapid binary gage function signal pulsed signal noise |
| title | Rapid Binary Gage Function to Extract a Pulsed Signal Buried in Noise |
| title_full | Rapid Binary Gage Function to Extract a Pulsed Signal Buried in Noise |
| title_fullStr | Rapid Binary Gage Function to Extract a Pulsed Signal Buried in Noise |
| title_full_unstemmed | Rapid Binary Gage Function to Extract a Pulsed Signal Buried in Noise |
| title_short | Rapid Binary Gage Function to Extract a Pulsed Signal Buried in Noise |
| title_sort | rapid binary gage function to extract a pulsed signal buried in noise |
| topic | rapid binary gage function signal pulsed signal noise |
| url | http://dx.doi.org/10.1155/S111086570440701X |
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