One and Two Dimensional Discrete Wavelet Transforms

Abstract

Fourier transform techniques have been the favored methods in the analysis of signal and systems. One major drawback of Fourier methods is the difficulty in analyzing transient and/or non-stationary behavior. Recent advances in the field of wavelet theory show much promise in alleviating these problems. This thesis considers the realizations of the wavelet decomposition and reconstruction algorithms for the discrete case. We also present a multiple-phase development as a second and possibly a preferable method for decomposing signals.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1992
Accession Number
ADA257981

Entities

People

  • Joey E. Legaspi

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • C Programming Language
  • Computer Programming
  • Computers
  • Electrical Engineering
  • Engineering
  • Equations
  • Operating Systems
  • Pattern Recognition
  • Schools
  • Shell Scripts
  • Signal Processing
  • Three Dimensional
  • Two Dimensional
  • United States
  • United States Naval Academy
  • Wavelet Transforms

Fields of Study

  • Engineering

Readers

  • Mathematical Modeling and Probability Theory.
  • Neural Network Machine Learning.
  • Systems Analysis and Design