On signal reconstruction without noisy phase
| dc.creator | Balan, Radu | |
| dc.creator | Casazza, Pete | |
| dc.creator | Edidin, Dan | |
| dc.date | 2004-12-20 | |
| dc.date.accessioned | 2026-07-07T05:15:30Z | |
| dc.date.available | 2026-07-07T05:15:30Z | |
| dc.description | We construct new classes of Parseval frames for a Hilbert space which allow signal reconstruction from the absolute value of the frame coefficients. As a consequence, signal reconstruction can be done without using noisy phase or its estimation. This verifies a longstanding conjecture of the speech processing community. | |
| dc.description | 15 pages, latex2e | |
| dc.identifier | https://arxiv.org/abs/math/0412411 | |
| dc.identifier | http://arxiv.org/abs/math/0412411 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/73652 | |
| dc.subject | Functional Analysis | |
| dc.title | On signal reconstruction without noisy phase | |
| dc.type | text |