Forward/Backward Decomposition for Dispersive Wave Propagation Measurements
Two complicating features commonly found in wave propagation applications include dispersion, i.e., frequency-dependent propagation velocity, and reflections, which introduce coherent noise. In this work, we present a signal processing technique which can be applied in a variety of applications to d...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/2/858 |
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| author | Nicholas A. Corbin Pablo Tarazaga |
| author_facet | Nicholas A. Corbin Pablo Tarazaga |
| author_sort | Nicholas A. Corbin |
| collection | DOAJ |
| description | Two complicating features commonly found in wave propagation applications include dispersion, i.e., frequency-dependent propagation velocity, and reflections, which introduce coherent noise. In this work, we present a signal processing technique which can be applied in a variety of applications to decompose signals into their forward- and backward-propagating components. The theory is presented, along with algorithmic implementation and experimental validation on a Timoshenko beam. The implications and potential utility of the method are briefly discussed. |
| format | Article |
| id | doaj-art-0579f85487254996bebf402585cbba0a |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-0579f85487254996bebf402585cbba0a2025-01-24T13:21:05ZengMDPI AGApplied Sciences2076-34172025-01-0115285810.3390/app15020858Forward/Backward Decomposition for Dispersive Wave Propagation MeasurementsNicholas A. Corbin0Pablo Tarazaga1Department of Mechanical and Aerospace Engineering, University of California San Diego, La Jolla, CA 92093, USADepartment of Mechanical Engineering, Texas A&M University, College Station, TX 77840, USATwo complicating features commonly found in wave propagation applications include dispersion, i.e., frequency-dependent propagation velocity, and reflections, which introduce coherent noise. In this work, we present a signal processing technique which can be applied in a variety of applications to decompose signals into their forward- and backward-propagating components. The theory is presented, along with algorithmic implementation and experimental validation on a Timoshenko beam. The implications and potential utility of the method are briefly discussed.https://www.mdpi.com/2076-3417/15/2/858wave propagationreflection compensationnon-destructive evaluationfourier analysis |
| spellingShingle | Nicholas A. Corbin Pablo Tarazaga Forward/Backward Decomposition for Dispersive Wave Propagation Measurements Applied Sciences wave propagation reflection compensation non-destructive evaluation fourier analysis |
| title | Forward/Backward Decomposition for Dispersive Wave Propagation Measurements |
| title_full | Forward/Backward Decomposition for Dispersive Wave Propagation Measurements |
| title_fullStr | Forward/Backward Decomposition for Dispersive Wave Propagation Measurements |
| title_full_unstemmed | Forward/Backward Decomposition for Dispersive Wave Propagation Measurements |
| title_short | Forward/Backward Decomposition for Dispersive Wave Propagation Measurements |
| title_sort | forward backward decomposition for dispersive wave propagation measurements |
| topic | wave propagation reflection compensation non-destructive evaluation fourier analysis |
| url | https://www.mdpi.com/2076-3417/15/2/858 |
| work_keys_str_mv | AT nicholasacorbin forwardbackwarddecompositionfordispersivewavepropagationmeasurements AT pablotarazaga forwardbackwarddecompositionfordispersivewavepropagationmeasurements |