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In applied mathematics, the sliding discrete Fourier transform is a recursive algorithm to compute successive STFTs of input data frames that are a single sample apart (hopsize − 1). The calculation for the sliding DFT is closely related to Goertzel algorithm.[citation needed]
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sliding dft fourier transform algorithm recursive window sample hopsize definition windowed infinite stfts two displaystyle however function therefore applied mathematics
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Sliding DFT | related to Sliding windowed infinite Fourier transform | It | 0.60 | section |
| Sliding DFT | related to Sliding windowed infinite Fourier transform | DFT | 0.60 | section |
| Sliding DFT | related to Sliding windowed infinite Fourier transform | However | 0.60 | section |
| Sliding DFT | related to Sliding windowed infinite Fourier transform | IIR | 0.60 | section |
| Sliding DFT | related to Sliding windowed infinite Fourier transform | Fourier | 0.60 | section |
| Sliding DFT | related to Sliding windowed infinite Fourier transform | SWIFT | 0.60 | section |
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