iterative ref: MASTER ISSUE: Implement expectation maximization iterative refinement #29
Description
Master issue of
- interative ref: insert slice notebook #53
- iterative ref: insert_slice from one plane #52
- iterative ref: more tests for insert_slice #50
- iterative ref: write tests for iterative_refinement #42
- iterative ref: test uniform distribution of SO(3) #39
- iterative ref: learn white noise (sigma) iteratively #37
- iterative ref: log expectation maximization loss #35
- iterative ref: Compute bayes factors with/without ctf convolution #32
- iterative ref: Generalize to use two separate half maps #31
- iterative ref: zero pad to avoid ctf aliasing #30
- iterative ref: implement and benchmark methods to normalize half maps #25
- iterative ref: make use of torch and compSPI 3D FFT. #24
- iterative ref: expand_1d_to_3d #20
- iterative ref: compute_fsc #19
- iterative ref: insert_slice #18
- iterative ref: add more tests to wiener filter to test its functionality and limiting cases. #17
- iterative ref: compute_bayesean_weights #16
- iterative ref: generate_slices #15
- iterative ref: generate_xy_plane #14
- iterative ref: grid SO(3) with healpy #13
- iterative ref: build_ctf #11
- iterative ref: PR-ready docstrings and design for iterative refinement #10
- iterative ref: resources for expectation maximization iterative refinement #6
- iterative ref: extend white noise to coloured noise #5
- iterative ref: branch and bound #3
Tasks live in project Implement expectation maximization iterative refinement, one github issue per task.