A Time Series Wavelet Analysis And Its Applications: A Review

Time series, being a universal and firm mathematical tool, has various applications in numerous fields. The concept regarding wavelets was discussed in the present work. Information from both frequency and time domain of a signal is used. Focus has been mainly on the design and on wavelet transforms. The key point of this review is on the basis of neural network combinations and wavelet theory. Evolution of wavelets, system architecture and algorithm implementation are being covered in this review. The applications and a clear trend of rapid development, combining Wavelet Neural Network (WNN) along with the existing neural network algorithms will also be examined. We have reviewed various types of applications that are wavelet-based and summarized the benefits of wavelets in terms of various applications and then comparing the results. This review verifies some research challenges and gaps that can act as a guide for possible applications that are wavelet-based and new system designs.