Optical Acquisition, Image and Data Compression.

Abstract

This report deals with the phase estimation of low-time-bandwidth product (TBP) signals. Phase and frequency of a signal is estimated for short observation time. The observation time or the spectral bandwidth is limited to the superresolving regime where the TBP is near unity. Two classes of signal estimation are presented. Superresolving frequency estimation is performed where the sinusoidal signals are buried in deep white Gaussian noise. Constrained optimization techniques, using linear programming are used to estimate the location of the spectral peaks of the sinusoidal signals. Time and frequency limited Hilbert transform analysis is used to reconstruct the phase from the amplitude, and the amplitude from the phase of a complex signal. In addition, three smoothing methods; a mathematical filtering method, a correction factor method, and a method of spectral partitioning, are used to improve the phase/amplitude estimate of the complex signal. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1984
Accession Number
ADA143984

Entities

People

  • G. Eichmann

Organizations

  • City College of New York

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Computational Science
  • Computer Programming
  • Computer Simulations
  • Computers
  • Electrical Engineering
  • Engineering
  • Filtration
  • Frequency
  • Gaussian Noise
  • Linear Programming
  • Mathematical Filters
  • Mathematical Programming
  • New York
  • Performance Engineering
  • Simplex Method
  • Spectra
  • Transfer Functions

Fields of Study

  • Engineering

Readers

  • Optical Physics and Photonics.
  • Statistical inference.