Accession Number:

ADA257981

Title:

One and Two Dimensional Discrete Wavelet Transforms

Descriptive Note:

Master's thesis

Corporate Author:

NAVAL POSTGRADUATE SCHOOL MONTEREY CA

Personal Author(s):

Report Date:

1992-09-01

Pagination or Media Count:

128.0

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 andor 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.

Subject Categories:

  • Statistics and Probability
  • Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE