Processing Spectrograms as Digital Pictures to Separate Competing Line Signatures.

Abstract

The problem of extracting individual signatures from a (digital) spectrogram containing two or more line signatures amidst random noise is discussed. It is assumed that each signature family contains a dominant line and the method proposed is based on using line enhancement and grouping procedures to isolate these dominant components. Using the extracted lines a family of two-dimensional matched filters are designed for each signature and used to detect the weaker members of the family. Cleaned-up low-entropy spectrograms of each source can then be produced. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1977
Accession Number
ADA047065

Entities

People

  • D. G. Nichol

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Background Noise
  • Classification
  • Computer Programs
  • Data Processing
  • Department Of Defense
  • Detection
  • Distribution Functions
  • Equations
  • Filters
  • Matched Filters
  • New York
  • Noise
  • Security
  • Spectra
  • Two Dimensional
  • United States
  • White Noise

Readers

  • Molecular Genetics
  • Sensor Fusion and Tracking Systems.
  • Speech Processing/Speech Recognition.