【摘要】 在经典小波去噪中,小波分解的结果与所采用的小波基函数有关,一旦选用不适当的小波基函数会冲淡振动信号的局部特征信息,从而造成原始信号的细节信息丢失。为了克服上述缺陷,Wim Sweldens博士提出了一种使用提升模式构造小波的方法,即第二代小波。文章讨论了一种基于前人成果发展出的二维信号降噪算法,证明了在二维降噪实践中第二代小波算法的优越性。更多还原

【Abstract】 In the demising of traditional wavelet transforms,the result of wavelet decomposing is related with basis function.The adopted wavelet which is ill-suited can delude the local characteristic of vibrating signal,and lost some useful detail information of original for signal.In order to overcome mentioned limitation,Dr.Wim Sweden proposed the method of constructing wavelet function.Based on the lifting scheme,an adaptive wavelet transform denoising metho which uses,the correlation of even and odd space to construct lifting scheme to detect features of signal was proposed.The result of simulation and experiment showed that the new method is better than traditional wavelet in demising.更多还原