Improved Denoising Method Using the Correlation of Multiwavelet Coefficient
Zhao Hua · Gao dianya jishu · 2011
When a signal is decomposed by multiwavelet,the multiwavelet coefficient consists of several blocks,and the correlation of coefficients in same blocks or cross the scales is utilized to denoise the signal usually.According to the different characteristics of signal and white noise,we put forward a denoising algorithm based on the correlation of multiwavelet coefficients for the better denoising performance.Firstly,we calculated the correlative coefficient of different blocks.Then,we compared the correlative coefficient with normalized correlative coefficient and made selection according to the rule,in which the reserved correlative coefficient was processed with neighboring coefficient method.Using the algorithm,the correlation of neighboring coefficients and different blocks was taken into account simultaneously.So the denoising performance was better than that of the conventional algorithm which only adopted the neighboring coefficients.The experimental results show that the interference of noise is reduced,and the break point is more visible.