Reducing Aliasing in the Wigner Distribution Using Implicit Spline Interpolation

Abstract

The Wigner Distribution (WD) is a bilinear signal transformation possessing several properties that are useful in time-frequency signal analysis. Fast Fourier transforms (FFT) techniques have been used to approximate the WD. However, the signal must be sampled at twice the Nyquist rate in order to avoid aliasing errors. This paper demonstrates that implicit spline interpolation of a continuous time signal or an undersampled time sequence can be used to reduce aliasing errors when approximating the WD. The method is said to be implicit since the interpolated samples are never actually computed. An efficient implicit interpolation algorithm that takes advantage of the special structure and symmetry of the WD is proposed.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1982
Accession Number
ADA124850

Entities

People

  • G. F. Boudreaux-bartels
  • George R. Brown
  • T. W. Parks

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Digital Signal Processing
  • Electrical Engineering
  • Engineering
  • Fast Fourier Transforms
  • Frequency
  • Frequency Response
  • Integrals
  • Interpolation
  • Military Research
  • Polynomials
  • Sampling
  • Sequences
  • Signal Processing
  • Symmetry
  • Time Signals

Fields of Study

  • Engineering

Readers

  • Image Processing and Computer Vision.
  • Linear Algebra
  • Statistical inference.