Linear Predictive Digital Filtering of Narrowband Processes in Additive Broadband Noise.

Abstract

Linear prediction filters (LPF) have recently found a large number of applications in such areas as speech analysis and power spectral estimation. An important application of these filters is to aid the cancellation or additive broadband noise from narrowband signal components. Provided the signal bandwidth is significantly less than the noise bandwidth, the LPF may be used to suppress the additive noise without requiring an external reference noise input (as is required in many noise cancelling applications). The purpose of this report is to provide an analytical basis for bounding the performance of a digital LPF when applied to the problem of cancelling broadband additive noise from narrowband signals. Experimental results obtained with a hardware implementation of an adaptive Wiener filter are shown to verify the analytical results. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1978
Accession Number
ADA065140

Entities

People

  • E. H. Satorius
  • J. R. Zeidler
  • S. T. Alexander

Tags

DTIC Thesaurus Topics

  • Adaptive Filters
  • Algorithms
  • Background Noise
  • Bandpass Filters
  • Delta Functions
  • Electrical Engineering
  • Equations
  • Filters
  • Filtration
  • Frequency
  • Frequency Response
  • Mathematical Filters
  • New York
  • Plastic Explosives
  • Power Spectra
  • Rational Functions
  • Spectra

Fields of Study

  • Engineering

Readers

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