Research on wavelet-based speech signal with noise denoising algorithms
Yang Yuefe · Computer Engineering and Applications Journal · 2015
Denoising is an essential problem in signal processing. Filter method as the traditional denoising method, includes linear and nonlinear filtering. Due to frequency overlap between noise and signal, the traditional method to obtain good denoising effect must sacrifice some signal. Existing wavelet modulus maxima denoising method has better denoising effect,however the computation loads are high. Wavelet threshold denoising method is simpler, but the wavelet coefficient after wavelet reconstruction has biased estimation with the wavelet coefficient of noise. The paper analyzes the threshold denoising method, giving a method to improve, simulation results show that it has better denoising effect.