High Resolution Time-Frequency Analysis of Non-stationary Signals Article Swipe
Süleyman Gökhun Tanyer
,
Gorkem Cipli
,
Peter F. Driessen
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.11159/cdsr17.126
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.11159/cdsr17.126
Time-frequency representations of signals are very important analysis tools which are required in various fields of science and engineering.Observations of most dynamic systems provide non-stationary signals where frequency properties vary in time.There are vast amounts of studies on the development of new time-frequency representations in the literature.Some methods provide better resolutions in time or frequency, or some providing improvements on both resolutions but with the cost of complexity and observation of cross-terms.Currently all methods provide somewhat balanced solutions when compared to their trade-off observables; computation cost, complexity, and performances.Further,their performances are greatly limited by the Heisenberg-Gabor limit.In this work, threedimensional time-frequency distribution (3D-TFD), three dimensional short-time Fourier transform (3D-STFT) are proposed, and the resolution improvement metric vector is defined.They are used to fuse the independent measurements of high resolution time and frequency.A heuristic practical approach is proposed as a proof-of-concept, and tested on a short duration pulse of constant frequency.It is observed that only two layers of 3D-STFT could be sufficient to obtain both high time and high frequency resolutions.Higher resolutions in both axes are obtained simultaneously.This novel method can be used in feature extraction, detection and other analysis applications.A more detailed study is planned as a future work.
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- Type
- article
- Language
- en
- Landing Page
- http://doi.org/10.11159/cdsr17.126
- https://doi.org/10.11159/cdsr17.126
- OA Status
- bronze
- Cited By
- 3
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2750633755
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2750633755Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.11159/cdsr17.126Digital Object Identifier
- Title
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High Resolution Time-Frequency Analysis of Non-stationary SignalsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-08-01Full publication date if available
- Authors
-
Süleyman Gökhun Tanyer, Gorkem Cipli, Peter F. DriessenList of authors in order
- Landing page
-
https://doi.org/10.11159/cdsr17.126Publisher landing page
- PDF URL
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https://doi.org/10.11159/cdsr17.126Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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bronzeOpen access status per OpenAlex
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https://doi.org/10.11159/cdsr17.126Direct OA link when available
- Concepts
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Time–frequency analysis, Computer science, Frequency analysis, Resolution (logic), Algorithm, Telecommunications, Artificial intelligence, RadarTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
- Citations by year (recent)
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2024: 1, 2022: 1, 2019: 1Per-year citation counts (last 5 years)
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23Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.applications.A | 189 |
| abstract_inverted_index.non-stationary | 24 |
| abstract_inverted_index.time-frequency | 42, 100 |
| abstract_inverted_index.literature.Some | 46 |
| abstract_inverted_index.representations | 1, 43 |
| abstract_inverted_index.Heisenberg-Gabor | 95 |
| abstract_inverted_index.threedimensional | 99 |
| abstract_inverted_index.proof-of-concept, | 139 |
| abstract_inverted_index.resolutions.Higher | 169 |
| abstract_inverted_index.simultaneously.This | 176 |
| abstract_inverted_index.cross-terms.Currently | 71 |
| abstract_inverted_index.engineering.Observations | 18 |
| abstract_inverted_index.performances.Further,their | 88 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.5075913 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |