On signal reconstruction without noisy phase

R. Balan,P. Casazza,D. Edidin

Published 2004 in arXiv: Functional Analysis

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.

PUBLICATION RECORD

  • Publication year

    2004

  • Venue

    arXiv: Functional Analysis

  • Publication date

    2004-12-20

  • Fields of study

    Mathematics, Physics, Computer Science

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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