File:Time-frequency analysis.png
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Size of this preview: 470 × 600 pixels. Other resolutions: 188 × 240 pixels | 586 × 748 pixels.
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Summary
| Description |
English: Time–frequency analysis. (a) The filters in a Fourier transform
are localized in frequency but not in time. (b) Wavelet filters are localized in both time and frequency. (c–e) The statistical structure of the signals determines how the filter shapes derived from efficient coding of the different data ensembles are distributed in time–frequency space. Each ellipse is a schematic of the extent of a single filter in time–frequency space. (c) Environmental sounds. (d) Animal vocalizations. (e) Speech. |
| Date | |
| Source | Efficient coding of natural sounds |
| Author | Michael S. Lewicki |
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 13:13, 30 August 2016 | | 586 × 748 (180 KB) | Schancee | User created page with UploadWizard |
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