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Spectral signal-to-noise ratio : ウィキペディア英語版 | Spectral signal-to-noise ratio In applied mathematics, the two-dimensional Spectral signal-to-noise ratio (SSNR) measures the normalised cross-correlation coefficient between several two-dimensional images over corresponding rings in Fourier space as a function of spatial frequency . It is a multi-particle extension of the Fourier ring correlation (FRC), which is related to the Fourier shell correlation. The SSNR is a popular method for finding the resolution of a class average in cryo-electron microscopy. == Calculation ==
:
where is the complex structure Factor for image k for a pixel at radius . It is possible convert the SSNR into an equivalent FRC using the following formula: :
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Spectral signal-to-noise ratio」の詳細全文を読む
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