Acoustic Noise Removal by Combining Wiener and Wavelet Filtering Techniques

Abstract

This thesis investigates the application of Wiener filtering and wavelet techniques for the removal of noise from underwater acoustic signals. Both FIR and IIR Wiener filters are applied in separate methods which involve the filtering of wavelet coefficients which have been produced through a discrete wavelet decomposition of the acoustic signal. The effectiveness of the noise removal methods is evaluated by applying them to simulated data. The combined Wiener wavelet filtering methods are compared to traditional denoising techniques which include Wiener filtering and wavelet thresholding methods.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1998
Accession Number
ADA350427

Entities

People

  • Fredric D. Forney Jr

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Acoustic Signals
  • Algorithms
  • Ambient Noise
  • Bandwidth
  • Coefficients
  • Computational Science
  • Detection
  • Electrical Engineering
  • Filters
  • Filtration
  • Frequency Bands
  • Frequency Response
  • Low Pass Filters
  • Mathematical Filters
  • Signal Processing
  • Statistical Analysis
  • United States Naval Academy

Fields of Study

  • Engineering

Readers

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