【摘要】 采用分段门限小波降噪(STWD)方法对化学信号中的异方差噪声进行降噪处理.用STWD法和统一门限小波降噪法同时处理两种模拟信号(其中之一包含异方差噪声).结果显示,优化参数的STWD法能够更有效地提高降噪效果.采用STWD法对微流控芯片化学发光检测信号中的异方差噪声进行处理,取得了满意的降噪效果.更多还原

【Abstract】 The denoising methods based on wavelet transform have been widely applied to eliminate the noise in the chemical measuring signals.However,the general wavelet-denoising methods do not effectually clear away the heteroscedastic noise in some chemical signals.In this contribution,the segment threshold wavelet denoising(STWD) method is proposed to eliminate the heteroscedastic noise that arises in the chemiluminescence detection signal of micro-fluidic electrophoresis chips.In the STWD,the wavelet denoising thresholds are independently chosen one segment by one segment according to the noise variances.Two synthetic signals(one with the general white noise,another with the heteroscedastic noise) were used to verify the validity of the STWD when the different parameters of wavelet denoising were adopted,and the STWD with optimized parameters was also applied to denoise the chemiluminescence detection signals of micro-fluidic electrophoresis chips.In comparison with the general wavelet denoising method,the STWD showed the better denoising effects in the two synthetic and the chemiluminescence signals.It indicates that the STWD could considerably improve the denoising performance of the signals with heteroscedastic noises.更多还原