Samsul Arffin Abdul Karim, and Mohd Hafizi Kamarudin, and Bakri Abdul Karim, and Mohammad Khatim Hasan, and Jumat Sulaiman, (2011) Wavelet transform and fast fourier transform for signal compression: A comparative study. In: 2011 International Conference on Electronic Devices, Systems and Applications, ICEDSA 2011, 25-27 April 2011, Kuala Lumpur, Malaysia.
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Official URL: http://dx.doi.org/10.1109/ICEDSA.2011.5959031
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.
|Item Type:||Conference Paper (UNSPECIFIED)|
|Uncontrolled Keywords:||Compression, DWT, FFT, Tilters, Threshold|
|Subjects:||Q Science > QA Mathematics|
|Divisions:||SCHOOL > School of Science and Technology|
|Deposited By:||IR Admin|
|Deposited On:||13 Aug 2012 15:58|
|Last Modified:||30 Dec 2014 09:35|
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