【摘要】：為解決重構(gòu)相空間中由于孤立點(diǎn)的存在而使簡單非線性降噪法無法有效降噪的問題,本研究提出使用不同鄰域半徑實(shí)施多次局部簡單非線性降噪的方法,去除重構(gòu)相空間中的孤立點(diǎn).使用該方法,對HZ公司的制造質(zhì)量水平時(shí)間序列,在其重構(gòu)相空間中經(jīng)過實(shí)施16次鄰域半徑由大到小的孤立點(diǎn)去除操作后,在重構(gòu)相空間中得到無孤立點(diǎn)的時(shí)間序列.經(jīng)過本方法實(shí)施孤立點(diǎn)去除操作后的時(shí)間序列,只需再經(jīng)過一次簡單非線性降噪,就可以實(shí)現(xiàn)有效降噪,經(jīng)過有效降噪的重構(gòu)相空間才可以實(shí)施進(jìn)一步的預(yù)測模型的擬合.
[Abstract]:In order to solve the problem that the simple nonlinear noise reduction method can not effectively reduce the noise due to the existence of isolated points in the reconstructed phase space, this paper proposes a method of multiple local simple nonlinear noise reduction using different neighborhood radii. Remove the isolated points in the reconstructed phase space. Using this method, the manufacturing quality level time series of HZ Company are obtained in the reconstructed phase space, after 16 times of outlier removal operations with large to small neighborhood radius, the time series without outliers is obtained in the reconstructed phase space. After the outliers are removed by this method, only one simple nonlinear de-noising is needed to realize the effective de-noising, and the fitting of the further prediction model can be carried out only after the reconstruction of the phase space of the effective de-noising.
【作者單位】： 華南理工大學(xué)工商管理學(xué)院;
【基金】：國家自然科學(xué)基金資助項(xiàng)目(51465020) 廣東省軟科學(xué)研究計(jì)劃資助項(xiàng)目(2013B070206017) 廣東省高等學(xué)校學(xué)科與專業(yè)建設(shè)專項(xiàng)資金科研類資助項(xiàng)目(2013WYXM0006)
【分類號】：O211.61

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1 張雨;任成龍;;確定重構(gòu)相空間維數(shù)的方法[J];國防科技大學(xué)學(xué)報(bào);2005年06期

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