Original release date : 2/28/18
Reference #1 : "prDeep: Robust Phase Retrieval with Flexible Deep Neural Networks"
Authors : Christopher A. Metzler, Philip Schniter, Ashok Veeraraghavan, Richard G. Baraniuk
Questions/suggestions/comments: chris.metzler@rice.edu
Scripts:
- PR_demo.m: Demonstrates phase retrieval from noisy coded diffraction and fourier measurements using prDeep.
Functions:
- prDeep.m: Implementation of prDeep
- HIO.m: Basic implementation of HIO algorithm
Auxiliary functions:
- disambig2Drfft.m: Phaseless 2D fourier transforms have phase and translation ambiguities. This function accounts for them.
This download includes trained DnCNN denoiser weights for various noise levels.
D-AMP Toolbox (https://github.com/ricedsp/D-AMP_Toolbox) must be on your path. MatConvNet (http://www.vlfeat.org/matconvnet/) must be compiled and on your path. FASTA (https://github.com/tomgoldstein/fasta-matlab/) must be on your path.
MatConvNet must be compiled before it can be used.