Abstract
The seismic gesture analysis is improved with the introduction of the wavelet transform, which replaces the traditional Fourier analysis with cutting-edge, better methods for understanding and analyzing sudden changes in data. As the Fourier transform of a signal does not include any local information, traditional Fourier transform analysis is insufficient for time-frequency analysis. To counteract this shortcoming, Dennis Gabor first invented the windowed-Fourier transform in 1946, often known as the Gabor transform. The modern wavelet theory encompasses a wide range of fields and applications, including but not limited to: wave transmission, data density, signal distribution, image processing, pattern recognition, computer graphics, the verdict of aircraft and submarines, the development of CAT scans and other medical representation technology, etc. Finding out how wavelet transform stacks up against Fourier transform is the primary motivation for this research.
Keyword
Fourier Transform, Wavelet Transform, Frequency domain, DFT, FFT, and Time-Frequency plane.
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