کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7930990 | 1512598 | 2014 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Photon correlation spectroscopy of the small amount of data based on auto-regressive power spectrum
ترجمه فارسی عنوان
طیف سنجی همبستگی فوتون از مقدار کمی اطلاعات بر اساس طیف توان خودکار رگرسیون
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کلمات کلیدی
طیف سنجی همبستگی فوتون، مدل خودکار رگرسیون، طیف قدرت، اندازه ذرات اندازه،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی مواد
مواد الکترونیکی، نوری و مغناطیسی
چکیده انگلیسی
Dynamic light scattering (DLS) technology is a powerful approach for measuring ultrafine particle size. The correlation method and photon correlation spectroscopy (PCS) are two methods of DLS technology. However, measurement accuracy of the correlation method and PCS based on traditional power spectrum is lower under the condition of the small amount of measurement data. For measurement problem of the small amount of data, PCS based on auto-regressive (AR) power spectrum is proposed in this paper. According to existing small amount of measurement data, this method can forecast subsequent data by an AR model, and then estimate the power spectrum of the data, which can achieve the measurement accuracy of the large amount of data. Besides, the optimal fast Fourier transform (FFT) points of 50Â nm-1000Â nm particles are obtained by analyzing the mean square error (MSE) of the AR power spectrum and its theoretical power spectrum in different FFT points. The results of simulation and experiment data demonstrate that the AR power spectrum method might serve as an effective approach to PCS measurement problem with the small amount of data.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Optics Communications - Volume 325, 30 August 2014, Pages 71-77
Journal: Optics Communications - Volume 325, 30 August 2014, Pages 71-77
نویسندگان
Wang Yajing, Shen Jin, Li Tianze, Dou Zhenhai, Gao Shanshan,