审美家
发表于 2025-3-21 20:05:25
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刚开始
发表于 2025-3-21 22:58:02
Bayesian Estimation of MR Images from Incomplete Raw Data are .uniformly distributed, which hampers Fourier transformation to the image domain. With the aid of Bayesian formalism we estimate an image that satisfies prior knowledge while its inverse Fourier transform is compatible with the acquired samples. The new technique is applied successfully to a re
神圣不可
发表于 2025-3-22 00:34:17
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Airtight
发表于 2025-3-22 06:10:01
The Vital Importance of Prior Information for the Decomposition of Ion Scattering Spectroscopy Dataexample of Pd adsorption on a Ru surface is particularly challenging because 13 partially overlapping isotopes contribute to the total scattering signal. Proper decomposition using appropriate prior information enables accurate coverage determination.
MURAL
发表于 2025-3-22 11:51:46
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背心
发表于 2025-3-22 14:05:30
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Pruritus
发表于 2025-3-22 17:16:44
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滑动
发表于 2025-3-22 21:55:57
The Maximum-Entropy Method in Small-Angle Scatteringis purpose suffer from problems caused by their ad hoc nature, but the Maximum-Entropy method has a well established theoretical foundation offering several advantages. Examples are given using simulated as well as experimental data. It is demonstrated that the “best” (most likely) choice of paramet
Metastasis
发表于 2025-3-23 01:48:19
Maximum Entropy Multi-Resolution EM Tomography by Adaptive Subdivisionexploration or environmental tests. Low resolution is generally the major limitation in the EM tomography. If a high resolution is sought, many artifacts with random patterns will show in the resultant image of the reconstruction if a least square error criterion is applied. The maximum entropy cons
共和国
发表于 2025-3-23 07:06:14
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