Timeline for Nonuniform sampling band-limited gaussian white noise
Current License: CC BY-SA 3.0
6 events
| when toggle format | what | by | license | comment | |
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| Mar 3, 2017 at 12:52 | comment | added | Dan Boschen | Yes as Brian mentioned a polyphase bank of filters came to mind as an approach to achieve all of the interpolated samples desired. (Not just a subset) Also regarding the challenge of tight filters for high orders of interpolation consider that the interpolation can be done in stages. | |
| Jan 12, 2015 at 13:45 | comment | added | David | One method is to up sample by a factor of 3 and then use spline interpolation to calculate the signal at arbitrary points in time. The filter allows direct control of the passband ripple and sidelobes levels. If needed you could upsample by a higher factor if improved performance is needed. | |
| May 4, 2014 at 3:35 | comment | added | Brian Hawkins | That's a perfectly feasible rate with this method. You can think of oversampling as using one very long filter with a low cutoff (relative to the output rate) or as a bank of filters each passing the entire band (at the input rate). That's the idea behind polyphase filter banks. In your case you'd only need a subset of the outputs. | |
| Apr 16, 2014 at 6:42 | comment | added | Noiser | When "oversampling" at a high rate I realized that there will be numerical problems with the low-pass filter since I'll need a very low cutoff frequency and very steep transition band. Is there any way around this or is this method unfeasible if e.g. need 1% clock delay resolution (which would mean reducing the cutoff frequency by 100)? I'll probably go with interpolation/fractional delay filter. | |
| Apr 15, 2014 at 23:48 | review | First posts | |||
| Apr 16, 2014 at 9:07 | |||||
| Apr 15, 2014 at 23:32 | history | answered | Brian Hawkins | CC BY-SA 3.0 |