Wavelet Transform and Fast Fourier Transform for signal compression

A comparative study

Samsul Ariffin Abdul Karim, Mohd Hafizi Kamarudin, Bakri Abdul Karim, Mohammad Khatim Hasan, Jumat Sulaiman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Wavelet and Fourier transform are the common methods used in signal and image compression. Wavelet transform (WT) are very powerful compared to Fourier transform (FT) because its ability to describe any type of signals both in time and frequency domain simultaneously while for FT, it describes a signal from time domain to frequency domain. Because of that, the performance of FT is outperformed by the impressive ability of WT for most type of signals (stationary or non-stationary). In this paper, we will discuss the use of Fast Fourier Transform (FFT) and Discrete Wavelet Transform (DWT) for signal compression. We do the numerical experiment by considering three types of signals and by applying FFT and DWT to decompose those signals. For DWT, various wavelet filters such as Haar (2 filters) and Daubechies (up to 10 filters) are used. All the numerical results were done by using Matlab programming.

Original languageEnglish
Title of host publicationInternational Conference on Electronic Devices, Systems, and Applications
Pages280-285
Number of pages6
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Electronic Devices, Systems and Applications, ICEDSA 2011 - Kuala Lumpur
Duration: 25 Apr 201127 Apr 2011

Other

Other2011 International Conference on Electronic Devices, Systems and Applications, ICEDSA 2011
CityKuala Lumpur
Period25/4/1127/4/11

Fingerprint

Fast Fourier transforms
Wavelet transforms
Discrete wavelet transforms
Fourier transforms
Image compression
Experiments

Keywords

  • compression
  • DWT
  • FFT
  • filters
  • threshold

ASJC Scopus subject areas

  • Computer Science Applications
  • Hardware and Architecture
  • Software
  • Electrical and Electronic Engineering

Cite this

Karim, S. A. A., Kamarudin, M. H., Karim, B. A., Hasan, M. K., & Sulaiman, J. (2011). Wavelet Transform and Fast Fourier Transform for signal compression: A comparative study. In International Conference on Electronic Devices, Systems, and Applications (pp. 280-285). [5959031] https://doi.org/10.1109/ICEDSA.2011.5959031

Wavelet Transform and Fast Fourier Transform for signal compression : A comparative study. / Karim, Samsul Ariffin Abdul; Kamarudin, Mohd Hafizi; Karim, Bakri Abdul; Hasan, Mohammad Khatim; Sulaiman, Jumat.

International Conference on Electronic Devices, Systems, and Applications. 2011. p. 280-285 5959031.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Karim, SAA, Kamarudin, MH, Karim, BA, Hasan, MK & Sulaiman, J 2011, Wavelet Transform and Fast Fourier Transform for signal compression: A comparative study. in International Conference on Electronic Devices, Systems, and Applications., 5959031, pp. 280-285, 2011 International Conference on Electronic Devices, Systems and Applications, ICEDSA 2011, Kuala Lumpur, 25/4/11. https://doi.org/10.1109/ICEDSA.2011.5959031
Karim SAA, Kamarudin MH, Karim BA, Hasan MK, Sulaiman J. Wavelet Transform and Fast Fourier Transform for signal compression: A comparative study. In International Conference on Electronic Devices, Systems, and Applications. 2011. p. 280-285. 5959031 https://doi.org/10.1109/ICEDSA.2011.5959031
Karim, Samsul Ariffin Abdul ; Kamarudin, Mohd Hafizi ; Karim, Bakri Abdul ; Hasan, Mohammad Khatim ; Sulaiman, Jumat. / Wavelet Transform and Fast Fourier Transform for signal compression : A comparative study. International Conference on Electronic Devices, Systems, and Applications. 2011. pp. 280-285
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