EMPIRICAL COMPARISON OF THREE SIGNAL PROCESSING METHODS: ADAPTIVE PERIODOGRAM TECHNIQUE, MORLET WAVELET TRANSFORM, AND ADAPTIVE WINDOWED FOURIER TRANSFORM AND THEIR APPLICATION ON GRAVITY WAVES

Bibliographic Details
Main Author: Zhang, Junbo
Language:English
Published: Miami University / OhioLINK 2006
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=miami1145385180
id ndltd-OhioLink-oai-etd.ohiolink.edu-miami1145385180
record_format oai_dc
spelling ndltd-OhioLink-oai-etd.ohiolink.edu-miami11453851802021-08-03T05:39:44Z EMPIRICAL COMPARISON OF THREE SIGNAL PROCESSING METHODS: ADAPTIVE PERIODOGRAM TECHNIQUE, MORLET WAVELET TRANSFORM, AND ADAPTIVE WINDOWED FOURIER TRANSFORM AND THEIR APPLICATION ON GRAVITY WAVES Zhang, Junbo Time-frequency analysis is important in geophysics studies. This is because in order to better understand the physical and chemical processes, one needs to know the detailed information contained in the signals. In this thesis, three signal analysis tools, adaptive periodogram technique (APT), Morlet wavelet transform (MWT), and adaptive windowed Fourier transform (AWFT), are analyzed and their advantages and disadvantage are compared. Among them, APT is a most recently developed method in Miami University, and it uses adaptive search technique over the whole signal to detect the time and frequency information. All three methods are then applied to the analysis of gravity waves using experimental data taken by the Arecibo Incoherent Scatter Radar (ISR). The thesis presents physical interpretation based on the analysis and results. Out analysis and testing using experimental data suggest that APT shows the best overall performance. On the other hand, MWT and AWFT are computationally more efficient. By using APT, MWT, and AWFT in a complimentary manner, one can expect better performance than using any single one method. 2006-04-19 English text Miami University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=miami1145385180 http://rave.ohiolink.edu/etdc/view?acc_num=miami1145385180 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
author Zhang, Junbo
spellingShingle Zhang, Junbo
EMPIRICAL COMPARISON OF THREE SIGNAL PROCESSING METHODS: ADAPTIVE PERIODOGRAM TECHNIQUE, MORLET WAVELET TRANSFORM, AND ADAPTIVE WINDOWED FOURIER TRANSFORM AND THEIR APPLICATION ON GRAVITY WAVES
author_facet Zhang, Junbo
author_sort Zhang, Junbo
title EMPIRICAL COMPARISON OF THREE SIGNAL PROCESSING METHODS: ADAPTIVE PERIODOGRAM TECHNIQUE, MORLET WAVELET TRANSFORM, AND ADAPTIVE WINDOWED FOURIER TRANSFORM AND THEIR APPLICATION ON GRAVITY WAVES
title_short EMPIRICAL COMPARISON OF THREE SIGNAL PROCESSING METHODS: ADAPTIVE PERIODOGRAM TECHNIQUE, MORLET WAVELET TRANSFORM, AND ADAPTIVE WINDOWED FOURIER TRANSFORM AND THEIR APPLICATION ON GRAVITY WAVES
title_full EMPIRICAL COMPARISON OF THREE SIGNAL PROCESSING METHODS: ADAPTIVE PERIODOGRAM TECHNIQUE, MORLET WAVELET TRANSFORM, AND ADAPTIVE WINDOWED FOURIER TRANSFORM AND THEIR APPLICATION ON GRAVITY WAVES
title_fullStr EMPIRICAL COMPARISON OF THREE SIGNAL PROCESSING METHODS: ADAPTIVE PERIODOGRAM TECHNIQUE, MORLET WAVELET TRANSFORM, AND ADAPTIVE WINDOWED FOURIER TRANSFORM AND THEIR APPLICATION ON GRAVITY WAVES
title_full_unstemmed EMPIRICAL COMPARISON OF THREE SIGNAL PROCESSING METHODS: ADAPTIVE PERIODOGRAM TECHNIQUE, MORLET WAVELET TRANSFORM, AND ADAPTIVE WINDOWED FOURIER TRANSFORM AND THEIR APPLICATION ON GRAVITY WAVES
title_sort empirical comparison of three signal processing methods: adaptive periodogram technique, morlet wavelet transform, and adaptive windowed fourier transform and their application on gravity waves
publisher Miami University / OhioLINK
publishDate 2006
url http://rave.ohiolink.edu/etdc/view?acc_num=miami1145385180
work_keys_str_mv AT zhangjunbo empiricalcomparisonofthreesignalprocessingmethodsadaptiveperiodogramtechniquemorletwavelettransformandadaptivewindowedfouriertransformandtheirapplicationongravitywaves
_version_ 1719423223147266048