A Short-Segment Fourier Transform Methodology

Abstract

A short-segment Fourier-transform methodology is introduced. This method addresses the problem of reduced frequency resolution associated with desirable decreases in data segment lengths for accomplishing spectral analyses of sampled signals and data sequences. The method is characterized by user-defined sampling of the continuous-valued discrete-time Fourier transform, superresolution in the frequency domain and allowance of Dirac delta functions associated with pure sinusoidal input data components.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2009
Accession Number
ADA495512

Entities

People

  • Andrew J. Noga

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Algorithms
  • Automated Speech Recognition
  • Delta Functions
  • Demodulation
  • Detection
  • Frequency
  • Frequency Bands
  • Frequency Response
  • Frequency Shift
  • Pattern Recognition
  • Plastic Explosives
  • Recognition
  • Sampling
  • Sequences
  • Signal Processing
  • Test Equipment

Readers

  • Approximation Theory.
  • Computational Modeling and Simulation
  • Image Processing and Computer Vision.