https://github.com/rosemol-jose/noisy-sparse-phase-retrieval-using-thresholded-wirtinger-flow-algorithm
Implementing and evaluating the TWF algorithm against real datasets
https://github.com/rosemol-jose/noisy-sparse-phase-retrieval-using-thresholded-wirtinger-flow-algorithm
mathematics numpy python scipy signal-processing spyder
Last synced: 2 months ago
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Implementing and evaluating the TWF algorithm against real datasets
- Host: GitHub
- URL: https://github.com/rosemol-jose/noisy-sparse-phase-retrieval-using-thresholded-wirtinger-flow-algorithm
- Owner: Rosemol-Jose
- Created: 2022-10-15T07:27:26.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2023-03-04T12:47:43.000Z (over 2 years ago)
- Last Synced: 2025-03-14T21:32:51.498Z (7 months ago)
- Topics: mathematics, numpy, python, scipy, signal-processing, spyder
- Language: Python
- Homepage:
- Size: 678 KB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# NOISY-SPARSE-PHASE-RETRIEVAL-USING-THRESHOLDED-WIRTINGER-FLOW-ALGORITHM
#Implementing and evaluating the TWF algorithm against real datasets.
#The project is trying to find a solution for phase loss of a signal during various signal processing applications using modified Wirtinger Flow Algorithm.
#Project plots the effects of different factors on the error in observations.
#The detailed view of problem is found in the thesis report i the repository.
#We tried to implement the algorithm for a larger dataset which is in progress.
#Dataset available at : See http://dsp.rice.edu/research/transmissionmatrices/
#Reference : "Coherent Inverse Scattering via Transmission Matrices: Efficient Phase Retrieval Algorithms and a Public Dataset", presented at the International Conference on Computational Photography 2017 by Christopher A. Metzler, Manoj Sharma, Sudarshan Nagesh, Richard G. Baraniuk, Olliver Cossiart, and Ashok Veeraraghavan