一种改进小波系数重构的信号去噪算法

A Signal De-noising Algorithm base on Improved Wavelet Coefficients Reconstruction

利用模极大值原理去噪后的小波系数,提出了一种采用三次样条插值进行小波系数重构,然后再结合Mallat重构算法,恢复出去噪后的信号.实验结果表明,该算法能给出信号原始小波变换系数的一个很好的近似,去噪效果明显.

An improved signal denoising algorithm, which uses a cubic spline interpolation algorithm to reconstruct wavelet coefficients after denoising based on Modulus Maximum Principle, is presented in this paper, and then the signal is reeomposed using the mallat algorithm based on the reconstructed coefficients. Experiments show that the approximate wavelet coefficients of the original signal are offered by using this algorithm, and denoising effect is obvious.