Mathematical implementation of hybrid fast fourier transform and discrete wavelet transform for developing graphical user interface using visual basic for signal processing applications

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Main Authors: Wali, Mousa Kadhim, Murugappan, M., Dr., R. Badlishah, Ahmad, Prof. Dr.
Other Authors: musawali@yahoo.com
Format: Article
Language:English
Published: World Scientific Publishing Co. Pte Ltd 2014
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Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/34562
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spelling my.unimap-345622014-05-21T03:36:18Z Mathematical implementation of hybrid fast fourier transform and discrete wavelet transform for developing graphical user interface using visual basic for signal processing applications Wali, Mousa Kadhim Murugappan, M., Dr. R. Badlishah, Ahmad, Prof. Dr. musawali@yahoo.com murugappan@unimap.edu.my badli@unimap.edu.my Discrete wavelet transform (DWT) Fast Fourier transform (FFT) Graphical user interface (GUI) Link to publisher's homepage at http://www.worldscientific.com/ In recent years, the application of discrete wavelet transform (DWT) on biosignal processing has made a significant impact on developing several applications. However, the existing user-friendly software based on graphical user interfaces (GUI) does not allow the freedom of saving the wavelet coefficients in .txt or .xls format and to analyze the frequency spectrum of wavelet coefficients at any desired wavelet decomposition level. This work describes the development of mathematical models for the implementation of DWT in a GUI environment. This proposed software based on GUI is developed under the visual basic (VB) platform. As a preliminary tool, the end user can perform "j" level of decomposition on a given input signal using the three most popular wavelet functions-Daubechies, Symlet, and Coiflet over "n" order. The end user can save the output of wavelet coefficients either in .txt or .xls file format for any further investigations. In addition, the users can gain insight into the most dominating frequency component of any given wavelet decomposition level through fast Fourier transform (FFT). This feature is highly essential in signal processing applications for the in-depth analysis on input signal components. Hence, this GUI has the hybrid features of FFT with DWT to derive the frequency spectrum of any level of wavelet coefficient. The novel feature of this software becomes more evident for any signal processing application. The proposed software is tested with three physiological signal-electroencephalogram (EEG), electrocardiogram (ECG), and electromyogram (EMG)-samples. Two statistical features such as mean and energy of wavelet coefficient are used as a performance measure for validating the proposed software over conventional software. The results of proposed software is compared and analyzed with MATLAB wavelet toolbox for performance verification. As a result, the proposed software gives the same results as the conventional toolbox and allows more freedom to the end user to investigate the input signal. 2014-05-21T03:36:18Z 2014-05-21T03:36:18Z 2012 Article Journal of Mechanics in Medicine and Biology, vol. 12(5), 2012, pages 1-24 0219-5194 (Print) 1793-6810 (Online) http://www.worldscientific.com/doi/abs/10.1142/S0219519412400313 http://dspace.unimap.edu.my:80/dspace/handle/123456789/34562 10.1142/S0219519412400313 en World Scientific Publishing Co. Pte Ltd
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Discrete wavelet transform (DWT)
Fast Fourier transform (FFT)
Graphical user interface (GUI)
spellingShingle Discrete wavelet transform (DWT)
Fast Fourier transform (FFT)
Graphical user interface (GUI)
Wali, Mousa Kadhim
Murugappan, M., Dr.
R. Badlishah, Ahmad, Prof. Dr.
Mathematical implementation of hybrid fast fourier transform and discrete wavelet transform for developing graphical user interface using visual basic for signal processing applications
description Link to publisher's homepage at http://www.worldscientific.com/
author2 musawali@yahoo.com
author_facet musawali@yahoo.com
Wali, Mousa Kadhim
Murugappan, M., Dr.
R. Badlishah, Ahmad, Prof. Dr.
format Article
author Wali, Mousa Kadhim
Murugappan, M., Dr.
R. Badlishah, Ahmad, Prof. Dr.
author_sort Wali, Mousa Kadhim
title Mathematical implementation of hybrid fast fourier transform and discrete wavelet transform for developing graphical user interface using visual basic for signal processing applications
title_short Mathematical implementation of hybrid fast fourier transform and discrete wavelet transform for developing graphical user interface using visual basic for signal processing applications
title_full Mathematical implementation of hybrid fast fourier transform and discrete wavelet transform for developing graphical user interface using visual basic for signal processing applications
title_fullStr Mathematical implementation of hybrid fast fourier transform and discrete wavelet transform for developing graphical user interface using visual basic for signal processing applications
title_full_unstemmed Mathematical implementation of hybrid fast fourier transform and discrete wavelet transform for developing graphical user interface using visual basic for signal processing applications
title_sort mathematical implementation of hybrid fast fourier transform and discrete wavelet transform for developing graphical user interface using visual basic for signal processing applications
publisher World Scientific Publishing Co. Pte Ltd
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/34562
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score 13.214268