Ipek karapinar biography of mahatma

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  • Karapinar et al., 2020; Sun et al., 2023).
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          Introduction

          In history, wavelet was firstly discovered by Grossman and Morlet [18], they Shower light on the word from French language "ondelette"(small wave). The progress of wavelet can be attached with many thoughts beginning with the Haar's work in 19th century [19]. In 1981 [18], Geophysicist Jean Morlet bring the light on the concept of wavelet. Wavelet is suitable for stationary signals that can instantaneously vary with time. It brings out researchers of different field from mathematicians, quantum physics, electrical engineers and many more together to explore and bring out some extra ordinary work together. Main applications of wavelets are image processing, signal processing, geophysics application theory, Finger print verification, face recognition, automobile detection, [12][13][14][15][16][17][18]. Wavelet transformation was introduced because of the limitation of Fourier analysis which is ideal in case of studying the stationary data and give us knowledge of what frequency are present in your signal and detail or information of Fourier analysis is invisible or lost and Short time Fourier analysis comes out to be very sensitive towards the high or low