On signal reconstruction without noisy phase
Radu Balan, Pete Casazza, Dan Edidin
Abstract
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.
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