Timeline for Finding Fourier transform of a discrete signal from its Z-transform
Current License: CC BY-SA 3.0
9 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| May 15, 2019 at 23:27 | comment | added | Peter K.♦ | @robertbristow-johnson Meh. | |
| May 15, 2019 at 18:22 | comment | added | robert bristow-johnson | I sure don't like your notation in the bottom line. Looks like a mathematical neologism to me. | |
| Sep 2, 2015 at 12:07 | comment | added | Peter K.♦ | Yes. That's it!! | |
| Sep 1, 2015 at 20:50 | comment | added | angie | You mean $z=e^{jw}$ ? | |
| Sep 1, 2015 at 20:44 | comment | added | JohnMarvin | Try to think a bit more. Looking to the equations that @PeterK. posted, what should be equal do z in order to make the Z-transform equation be equal to the Fourier Transform. In other others, you can write z = "something", and when you put this value in the z-transform, it is goingo to become the Fourier Transform. | |
| Sep 1, 2015 at 20:16 | comment | added | angie | Not really. If you could show me an example with numbers , it would be great. | |
| Sep 1, 2015 at 20:06 | comment | added | Peter K.♦ | Does this help? | |
| Sep 1, 2015 at 20:04 | comment | added | angie | I can see they're similar | |
| Sep 1, 2015 at 19:59 | history | answered | Peter K.♦ | CC BY-SA 3.0 |