Iterative Techniques for Minimum Phase Signal Reconstruction from Phase or Magnitude.

Abstract

In this report, we develop iterative algorithms for reconstructing a minimum phase sequence from the phase or magnitude of its Fourier transform. The iterative techniques result in two potentially important computational algorithms. The first is a means of implementing the Hilbert transform of the log-magnitude or phase of the Fourier transform of a minimum phase sequence. This procedure avoids problems of phase unwrapping and aliasing inherent in the direct discrete Fourier transform implementation of the Hilbert transform. The second algorithm is a new method of computing samples of the unwrapped phase. As compared with other available phase unwrapping algorithms, this approach does not rely on adding 2 pi multiples to samples of the principal value of the phase. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1980
Accession Number
ADA091111

Entities

People

  • Alan V. Oppenheim
  • Thomas F. Quatieri

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Additives (Chemicals)
  • Algorithms
  • Complex Variables
  • Convergence
  • Digital Computers
  • Discrete Fourier Transforms
  • Errors
  • Frequency
  • Frequency Domain
  • Iterations
  • Sequences
  • Step Functions
  • Time Domain
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Approximation Theory.
  • Nuclear Civil Defense.