Spectral analysis techniques using Prism signal processing
The Prism is a new signal processing module which implements fully recursive, linear phase FIR filtering, so its computational cost is fixed irrespective of filter length. The Prism also has negligible design cost. Recent work has demonstrated how, using simple design rules, a chain of six Prisms ca...
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| Format: | Journal article |
| Langue: | English |
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Elsevier
2020
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| _version_ | 1826270638565752832 |
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| author | Henry, M |
| author_facet | Henry, M |
| author_sort | Henry, M |
| collection | OXFORD |
| description | The Prism is a new signal processing module which implements fully recursive, linear phase FIR filtering, so its computational cost is fixed irrespective of filter length. The Prism also has negligible design cost. Recent work has demonstrated how, using simple design rules, a chain of six Prisms can create a narrowband filter with arbitrary central frequency and bandwidth. In this paper, the technique is applied to spectral analysis of data, whereby a sequence of filters is applied to a data set to provide narrow frequency analysis, yielding accurate estimates of the frequencies and amplitudes of spectral peaks in the data. Although this time domain technique remains computationally expensive compared to the FFT, it can identify and reject spectral leakage, offering an alternative analysis for low amplitude and/or adjacent spectral peaks, including hidden tones, where FFT discrimination may be limited. |
| first_indexed | 2024-03-06T21:43:59Z |
| format | Journal article |
| id | oxford-uuid:48e9f11d-f88b-4f3c-94b9-ef02dd6bf1ab |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T21:43:59Z |
| publishDate | 2020 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | oxford-uuid:48e9f11d-f88b-4f3c-94b9-ef02dd6bf1ab2022-03-26T15:28:36ZSpectral analysis techniques using Prism signal processingJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:48e9f11d-f88b-4f3c-94b9-ef02dd6bf1abEnglishSymplectic ElementsElsevier2020Henry, MThe Prism is a new signal processing module which implements fully recursive, linear phase FIR filtering, so its computational cost is fixed irrespective of filter length. The Prism also has negligible design cost. Recent work has demonstrated how, using simple design rules, a chain of six Prisms can create a narrowband filter with arbitrary central frequency and bandwidth. In this paper, the technique is applied to spectral analysis of data, whereby a sequence of filters is applied to a data set to provide narrow frequency analysis, yielding accurate estimates of the frequencies and amplitudes of spectral peaks in the data. Although this time domain technique remains computationally expensive compared to the FFT, it can identify and reject spectral leakage, offering an alternative analysis for low amplitude and/or adjacent spectral peaks, including hidden tones, where FFT discrimination may be limited. |
| spellingShingle | Henry, M Spectral analysis techniques using Prism signal processing |
| title | Spectral analysis techniques using Prism signal processing |
| title_full | Spectral analysis techniques using Prism signal processing |
| title_fullStr | Spectral analysis techniques using Prism signal processing |
| title_full_unstemmed | Spectral analysis techniques using Prism signal processing |
| title_short | Spectral analysis techniques using Prism signal processing |
| title_sort | spectral analysis techniques using prism signal processing |
| work_keys_str_mv | AT henrym spectralanalysistechniquesusingprismsignalprocessing |