Spectral Survey Using Spectral Mixture Models

Abstract

A modification of the statistical technique known as Expectation Maximization can be applied for detecting and characterizing spectral activity. The novel technique adapts the Expectation Maximization to process histogram data using a signal model. The method provides signal clustering and parameter estimation.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2009
Accession Number
ADA507621

Entities

People

  • Alfredo V. Irizarry

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Bandwidth
  • Clustering
  • Communication Systems
  • Convergence
  • Data Science
  • Frequency
  • Frequency Domain
  • Histograms
  • Information Science
  • Probability
  • Signal Processing
  • Statistical Samples
  • Statistics
  • Surveys

Readers

  • Approximation Theory.
  • Regression Analysis.
  • Systems Analysis and Design