The Complexity of Bit Retrieval
Journal Article
·
· IEEE Transactions on Information Theory
- Cornell Univ., Ithaca, NY (United States). Dept. of Physics
Bit retrieval is the problem of reconstructing a periodic binary sequence from its periodic autocorrelation, with applications in cryptography and x-ray crystallography. After defining the problem, with and without noise, we describe and compare various algorithms for solving it. A geometrical constraint satisfaction algorithm, relaxed-reflect-reflect, is currently the best algorithm for noisy bit retrieval.
- Research Organization:
- SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
- Sponsoring Organization:
- USDOE; Simons Foundation
- Grant/Contract Number:
- SC0005827; AC02-76SF00515; SC0005827
- OSTI ID:
- 1417635
- Journal Information:
- IEEE Transactions on Information Theory, Journal Name: IEEE Transactions on Information Theory Journal Issue: 1 Vol. 64; ISSN 0018-9448
- Publisher:
- IEEECopyright Statement
- Country of Publication:
- United States
- Language:
- English
The Douglas–Rachford algorithm for convex and nonconvex feasibility problems
|
journal | November 2019 |
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