Wavelet Analysis in the Application of Signal Processing

Nowadays, signal attracts more and more concerns from all walks of life as an information carrier in the information age. However, Fourier Transform which separately deals with time and frequency domains may not be fully competent as a signal processer in the digitization of communications system. Wavelet analysis is a strong signal processing method, which can not only fetch the features of the signal, but also achieve the signal denoising, compression, determine trends, and other functions .Image denoising and voice denoising were two empirical analyses in this study, which indicate certain research value of wavelet analysis for the development of signal processing.