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) : Legaspi, Joey E


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a257981.pdf


Report Date : Sep 1992


Pagination or Media Count : 128


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.


Descriptors :   *COMPUTER PROGRAMS , *FOURIER TRANSFORMATION , ALGORITHMS , TWO DIMENSIONAL , THEORY , PHASE , STATIONARY , BEHAVIOR , DECOMPOSITION , PATTERN RECOGNITION , SIGNALS , THESES , ONE DIMENSIONAL , TRANSIENTS , SIGNAL PROCESSING


Subject Categories : Statistics and Probability
      Computer Programming and Software


Distribution Statement : APPROVED FOR PUBLIC RELEASE