Performance Analysis of Wavelet Thresholding Methods in Denoising of Audio Signals of Some Indian Musical Instruments
نویسنده
چکیده
It is known that signals obtained from the real world environment are corrupted by the noise. This noise causes poor performance of the relevant system and therefore must be removed effectively before further processing of signal. Research in the area of wavelets showed that wavelet shrinkage method performs well and efficiently as compared to other methods of denoising. In this paper, a comparative analysis of the performance of various wavelet coefficients thresholding methods in denoising of audio signals of various Indian musical instruments is presented. For thresholding of the wavelet coefficients, performance of some well-known thresholding methods i.e. Minimax, SURE (Heuristic and Rigorous) and Square-Root-Log are investigated in the presence of white Gaussian noise. The effect of wavelet decomposition levels is also investigated. For wavelet decomposition, Coif5 wavelet is used. The quality of denoised speech signal is expressed in terms of Peak Signal to Noise Ratio (PSNR) as compared to original noiseless speech signal.
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