Short-time Fourier transform: two fundamental properties and an optimal implementation
buir.contributor.author | Arıkan, Orhan | |
buir.contributor.orcid | Arıkan, Orhan|0000-0002-3698-8888 | |
dc.citation.epage | 1242 | en_US |
dc.citation.issueNumber | 5 | en_US |
dc.citation.spage | 1231 | en_US |
dc.citation.volumeNumber | 51 | en_US |
dc.contributor.author | Durak, L. | en_US |
dc.contributor.author | Arıkan, Orhan | en_US |
dc.date.accessioned | 2016-02-08T10:30:11Z | |
dc.date.available | 2016-02-08T10:30:11Z | |
dc.date.issued | 2003 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description.abstract | Shift and rotation invariance properties of linear time-frequency representations are investigated. It is shown that among all linear time-frequency representations, only the short-time Fourier transform (STFT) family with the Hermite-Gaussian kernels satisfies both the shift invariance and rotation invariance properties that are satisfied by the Wigner distribution (WD). By extending the time-bandwidth product (TBP) concept to fractional Fourier domains, a generalized time-bandwidth product (GTBP) is defined. For mono-component signals, it is shown that GTBP provides a rotation independent measure of compactness. Similar to the TBP optimal STFT, the GTBP optimal STFT that causes the least amount of increase in the GTBP of the signal is obtained. Finally, a linear canonical decomposition of the obtained GTBP optimal STFT analysis is presented to identify its relation to the rotationally invariant STFT. | en_US |
dc.identifier.doi | 10.1109/TSP.2003.810293 | en_US |
dc.identifier.issn | 1053-587X | |
dc.identifier.uri | http://hdl.handle.net/11693/24491 | |
dc.language.iso | English | en_US |
dc.publisher | IEEE | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1109/TSP.2003.810293 | en_US |
dc.source.title | IEEE Transactions on Signal Processing | en_US |
dc.subject | Fractional Fourier transform | en_US |
dc.subject | Generalized time-bandwidth product | en_US |
dc.subject | Linear time-frequency representations | en_US |
dc.subject | Rotation invariance | en_US |
dc.subject | Short-time Fourier transform | en_US |
dc.subject | Algorithms | en_US |
dc.subject | Bandwidth | en_US |
dc.subject | Fourier transforms | en_US |
dc.subject | Probability distributions | en_US |
dc.subject | Radar target recognition | en_US |
dc.subject | Spectrographs | en_US |
dc.subject | Spectrum analysis | en_US |
dc.subject | Signal processing | en_US |
dc.title | Short-time Fourier transform: two fundamental properties and an optimal implementation | en_US |
dc.type | Article | en_US |
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