Timeline for Hilbert FIR Filter for Q - Matching Filter for I
Current License: CC BY-SA 3.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| May 6, 2016 at 15:44 | vote | accept | Tom Carpenter | ||
| May 5, 2016 at 2:03 | comment | added | Jason R | Have you analyzed the frequency response of your filter, taking the quantization of coefficients and fixed-point arithmetic into account? This isn't a trivial procedure, but if you have the MATLAB Fixed-Point Toolbox, it will do it for you. < 0.1 dB ripple is pretty good; I don't have any expertise in the ultrasound imaging subfield, but I would be surprised if that level of ripple is causing any noticeable performance degradation. | |
| May 5, 2016 at 2:03 | answer | added | robert bristow-johnson | timeline score: 5 | |
| May 5, 2016 at 1:36 | review | First posts | |||
| May 5, 2016 at 11:54 | |||||
| May 5, 2016 at 1:33 | history | asked | Tom Carpenter | CC BY-SA 3.0 |