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Title: Application of Wavelet Transform and its Advantages Compared to Fourier Transform
Authors: Sifuzzaman, M
Islam, M R
Ali, M Z
Keywords: Fourier transform
wavelet transform
time-frequency signal analysis
Issue Date: 2009
Publisher: Vidyasagar University , Midnapore , West-Bengal , India
Series/Report no.: Journal of Physical Science;Vol 13 [2009]
Abstract: Wavelet analysis is an exciting new method for solving difficult problems in mathematics, physics, and engineering, with modern applications as diverse as wave propagation, data compression, signal processing, image processing, pattern recognition, computer graphics, the detection of aircraft and submarines and other medical image technology. Wavelets allow complex information such as music, speech, images and patterns to be decomposed into elementary forms at different positions and scales and subsequently reconstructed with high precision. Signal transmission is based on transmission of a series of numbers. The series representation of a function is important in all types of signal transmission. The wavelet representation of a function is a new technique. Wavelet transform of a function is the improved version of Fourier transform. Fourier transform is a powerful tool for analyzing the components of a stationary signal. But it is failed for analyzing the non stationary signal where as wavelet transform allows the components of a non-stationary signal to be analyzed. In this paper, our main goal is to find out the advantages of wavelet transform compared to Fourier transform
Description: 121-134
ISSN: 0972-8791 (Print)
Appears in Collections:Journal of Physical Sciences Vol.13 [2009]

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