In mathematical literature, Fourier transforms decomposed the original signal into a linear combination as a sine and cosine function whereas by wavelet transform the signal is decomposed as a sum of a more flexible function called wavelet that is localized in both time and frequency. The wavelet transforms were used to adopt a wavelet prototype function (mother wavelet)