Karim, S.A.A. and Kamarudin, M.H. and Karim, B.A. and Hasan, M.K. and Sulaiman, J. (2011) Wavelet Transform and Fast Fourier Transform for signal compression: A comparative study. In: UNSPECIFIED.
Full text not available from this repository.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. © 2011 IEEE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 20; Conference of 2011 International Conference on Electronic Devices, Systems and Applications, ICEDSA 2011 ; Conference Date: 25 April 2011 Through 27 April 2011; Conference Code:87095 |
Uncontrolled Keywords: | Comparative studies; Daubechies; DWT; Frequency domains; Matlab programming; Nonstationary; Numerical experiments; Numerical results; Signal compression; threshold; Time and frequency domains; Time domain; Wavelet filters, Fast Fourier transforms; Frequency domain analysis; Image compression; Signal processing; Thermoelectric equipment; Time domain analysis, Discrete wavelet transforms |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:50 |
Last Modified: | 09 Nov 2023 15:50 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/1835 |