Timeline for Upsampling and Downsampling using IFFT and FFT (DFT Based Resampling)
Current License: CC BY-SA 3.0
8 events
| when toggle format | what | by | license | comment | |
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| Aug 15, 2017 at 15:31 | comment | added | Fat32 | Start from time domain signal $x[n]$ and consider its DTFT $X(e^{j\omega})$ in the range $\omega=0$ to $\omega=2\pi$, now upsample $x[n]$ by say 2, this'll shrink the DTFT $X(e^{j\omega})$ by 2 towards $\omega=0$ and $\omega= 2\pi$. Hence leave the central region empty. When you simulate this in Frequency domain, therefore, you will stuff zeros to the central region. Note that it's DFT $X[k]$ that is practically utilized. | |
| Aug 15, 2017 at 15:19 | comment | added | user59419 | Can you explain why in frequency domain zero should be added in the middle of signal and not to the end of the signal? | |
| Aug 15, 2017 at 15:17 | vote | accept | user59419 | ||
| Aug 14, 2017 at 19:36 | history | edited | Fat32 | CC BY-SA 3.0 |
added 8 characters in body
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| Aug 14, 2017 at 19:31 | history | edited | Fat32 | CC BY-SA 3.0 |
added 3 characters in body
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| S Aug 14, 2017 at 19:28 | history | suggested | Gilles | CC BY-SA 3.0 |
formatting enumerated list
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| Aug 14, 2017 at 19:24 | review | Suggested edits | |||
| S Aug 14, 2017 at 19:28 | |||||
| Aug 14, 2017 at 10:56 | history | answered | Fat32 | CC BY-SA 3.0 |