کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5456997 1515120 2017 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Enhancement of noisy EDX HRSTEM spectrum-images by combination of filtering and PCA
موضوعات مرتبط
مهندسی و علوم پایه مهندسی مواد دانش مواد (عمومی)
پیش نمایش صفحه اول مقاله
Enhancement of noisy EDX HRSTEM spectrum-images by combination of filtering and PCA
چکیده انگلیسی
STEM spectrum-imaging with collecting EDX signal is considered in view of the extraction of maximum information from very noisy data. It is emphasized that spectrum-images with weak EDX signal often suffer from information loss in the course of PCA treatment. The loss occurs when the level of random noise exceeds a certain threshold. Weighted PCA, though potentially helpful in isolation of meaningful variations from noise, might provoke the complete loss of information in the situation of weak EDX signal. Filtering datasets prior PCA can improve the situation and recover the lost information. In particular, Gaussian kernel filters are found to be efficient. A new filter useful in the case of sparse atomic-resolution EDX spectrum-images is suggested.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Micron - Volume 96, May 2017, Pages 29-37
نویسندگان
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