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xiyuyi / PyPRIS

This is a python package to perform progressive refinement method for sparse recovery (PRIS)
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Feature3 Set1 #72

Closed xiyuyi closed 5 years ago

xiyuyi commented 5 years ago

[parameter sweep 0] b9b20b074df9182be09fbaa69f0ffbe23d95f6a3 commit b9b20b074df9182be09fbaa69f0ffbe23d95f6a3

xiyuyi commented 5 years ago

image

xiyuyi commented 5 years ago

sneakpeak:

very good. bgSCF1.5_mu1.0e+05_alpha1.0e-11

edge effect is fine we can overlay many voxels.

PyPRIS__Proj_vies_bgSCF1 5_mu1 0e+05_alpha1 0e-11_pris2_plots_it90001

xiyuyi commented 5 years ago

submitted pris_continue to the good result today.

xiyuyi commented 5 years ago

image

xiyuyi commented 5 years ago

image

xiyuyi commented 5 years ago

The most sensitive parameter is alpha, then bgSCF, then mu.

xiyuyi commented 5 years ago

Decide choose bgSCF=2 and 1.5, mu=1e4, alpha=1e-11.