Timeline for Difference between Fourier transform and Wavelets
Current License: CC BY-SA 3.0
6 events
| when toggle format | what | by | license | comment | |
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| May 10, 2017 at 13:22 | comment | added | Willie Wong | @KenT: a windowed Fourier transform is basically a poor-man's wavelet transform. Besides, the quote in the original question asked specifically about the "standard Fourier transform". | |
| May 10, 2017 at 7:05 | comment | added | Ken T | But with Fourier transformation, you can also have the frequency and temporal information by applying the Fourier transformation into the temporal subset of the signal. That's why we can produce spectrum (intensity vs frequency vs time) using FFT. So I don't quite see the difference. | |
| Dec 6, 2014 at 20:53 | comment | added | Philip Oakley | The uncertainty principle essentially pre-dates Heisenberg. He 'just' put a practical (i.e. Physics) limit on the value in the real world. (a similar 'calibration' problem exist between information and entropy). Wavelets, in a sense, work because they are on an exponential scale, rather than a linear scale, allowing their width-localisation product to be kept bounded (the uncertainty principle). | |
| Jan 16, 2013 at 17:29 | vote | accept | chatur | ||
| Jan 16, 2013 at 17:29 | comment | added | chatur | Thanks a lot Willie Wong. Traffic signal example was very useful to understand physical meaning | |
| Jan 16, 2013 at 12:04 | history | answered | Willie Wong | CC BY-SA 3.0 |