Simulated and Experimental Verification for a Terahertz Specific Finite Rate of Innovation Signal Processing Method
Recently, finite rate of innovation methods have been successfully applied to achieve low sampling rates in many areas, such as for ultrasound and radio signals. However, to the best of our knowledge, there are no journal publications applying this to real terahertz signals. In this work, we mathema...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/9/3387 |
| _version_ | 1797502869746745344 |
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| author | Xavier E. Ramirez Barker Rayko I. Stanchev Arturo I. Hernandez Serrano Emma Pickwell-MacPherson |
| author_facet | Xavier E. Ramirez Barker Rayko I. Stanchev Arturo I. Hernandez Serrano Emma Pickwell-MacPherson |
| author_sort | Xavier E. Ramirez Barker |
| collection | DOAJ |
| description | Recently, finite rate of innovation methods have been successfully applied to achieve low sampling rates in many areas, such as for ultrasound and radio signals. However, to the best of our knowledge, there are no journal publications applying this to real terahertz signals. In this work, we mathematically describe a finite rate of innovation method applied specifically to terahertz signals both experimentally and in simulation. To demonstrate our method, we applied it to randomized simulated signals with and without the presence of noise and to simple experimental measurements. We found excellent agreement between the simulated signals and those recreated based on results from our method, with this success also being replicated experimentally. These results were obtained at relatively low sampling rates, compared to standard methods, which is a key advantage to using a finite rate of innovation method as it allows for faster data acquisition and signal processing. |
| first_indexed | 2024-03-10T03:42:19Z |
| format | Article |
| id | doaj.art-bfabf09c1a804ebca9b688d7af831b08 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T03:42:19Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-bfabf09c1a804ebca9b688d7af831b082023-11-23T09:17:43ZengMDPI AGSensors1424-82202022-04-01229338710.3390/s22093387Simulated and Experimental Verification for a Terahertz Specific Finite Rate of Innovation Signal Processing MethodXavier E. Ramirez Barker0Rayko I. Stanchev1Arturo I. Hernandez Serrano2Emma Pickwell-MacPherson3Department of Physics, University of Warwick, Coventry CV4 7AL, UKDepartment of Physics, University of Warwick, Coventry CV4 7AL, UKDepartment of Physics, University of Warwick, Coventry CV4 7AL, UKDepartment of Physics, University of Warwick, Coventry CV4 7AL, UKRecently, finite rate of innovation methods have been successfully applied to achieve low sampling rates in many areas, such as for ultrasound and radio signals. However, to the best of our knowledge, there are no journal publications applying this to real terahertz signals. In this work, we mathematically describe a finite rate of innovation method applied specifically to terahertz signals both experimentally and in simulation. To demonstrate our method, we applied it to randomized simulated signals with and without the presence of noise and to simple experimental measurements. We found excellent agreement between the simulated signals and those recreated based on results from our method, with this success also being replicated experimentally. These results were obtained at relatively low sampling rates, compared to standard methods, which is a key advantage to using a finite rate of innovation method as it allows for faster data acquisition and signal processing.https://www.mdpi.com/1424-8220/22/9/3387finite rate of innovationterahertz time-domain spectroscopylow sampling ratesum-of-sincsannihilating filters |
| spellingShingle | Xavier E. Ramirez Barker Rayko I. Stanchev Arturo I. Hernandez Serrano Emma Pickwell-MacPherson Simulated and Experimental Verification for a Terahertz Specific Finite Rate of Innovation Signal Processing Method Sensors finite rate of innovation terahertz time-domain spectroscopy low sampling rate sum-of-sincs annihilating filters |
| title | Simulated and Experimental Verification for a Terahertz Specific Finite Rate of Innovation Signal Processing Method |
| title_full | Simulated and Experimental Verification for a Terahertz Specific Finite Rate of Innovation Signal Processing Method |
| title_fullStr | Simulated and Experimental Verification for a Terahertz Specific Finite Rate of Innovation Signal Processing Method |
| title_full_unstemmed | Simulated and Experimental Verification for a Terahertz Specific Finite Rate of Innovation Signal Processing Method |
| title_short | Simulated and Experimental Verification for a Terahertz Specific Finite Rate of Innovation Signal Processing Method |
| title_sort | simulated and experimental verification for a terahertz specific finite rate of innovation signal processing method |
| topic | finite rate of innovation terahertz time-domain spectroscopy low sampling rate sum-of-sincs annihilating filters |
| url | https://www.mdpi.com/1424-8220/22/9/3387 |
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