De-Noising Sine and Real Time Audio Signal Using DiscreteWavelet Transform DWT Method

Abstract

Most of transmission and receiving signals are often corrupted by noise which can cause severe problems for downstream processing. Therefore, an automated removal of noise would be an invaluable first stage for many signal processing tasks. There are various methods to restore a signal from noisy distortions. In this paper, Discrete Wavelet Transform DWT to be
an invaluable accumulation tools and to be enjoyed a rapidly increasing recognition of the signal processing field for the purpose of sine and real audio signal. Wavelet analysis can be compressed or de-noised a signal without appreciable degradation with the SIMULINK/ MATLAB. Wavelet de-noise acts as to remove the noise present in the signal while preserving the signal characteristics, regardless of its frequency content. Moreover, Wavelets is decomposition function that it is a capable method of de-noising. In this paper, according to the analysis of system’s performances such as Coiflet5,
Daubechies9 and Daubechies10 Wavelets for different values of their order are compared and tested for an audio signal. Further, the variation of threshold values with respective correlation values has been investigated for sine and real audiosignal in AWGN channel.