Invention Grant
- Patent Title: Decoding signals by guessing noise
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Application No.: US17819697Application Date: 2022-08-15
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Publication No.: US11784666B2Publication Date: 2023-10-10
- Inventor: Muriel Medard , Kenneth R. Duffy
- Applicant: Massachusetts Institute of Technology , National University of Ireland, Maynooth
- Applicant Address: US MA Cambridge
- Assignee: Massachusetts Institute of Technology,National University of Ireland, Maynooth
- Current Assignee: Massachusetts Institute of Technology,National University of Ireland, Maynooth
- Current Assignee Address: US MA Cambridge; IE Maynooth
- Agency: DALY, CROWLEY, MOFFORD & DURKEE LLP
- Main IPC: H03M13/29
- IPC: H03M13/29 ; H04L1/00 ; H03M13/05 ; H03M13/00 ; H03M13/37

Abstract:
Devices and methods described herein decode a sequence of coded symbols by guessing noise. In various embodiments, noise sequences are ordered, either during system initialization or on a periodic basis. Then, determining a codeword includes iteratively guessing a new noise sequence, removing its effect from received data symbols (e.g. by subtracting or using some other method of operational inversion), and checking whether the resulting data are a codeword using a codebook membership function. This process is deterministic, has bounded complexity, asymptotically achieves channel capacity as in convolutional codes, but has the decoding speed of a block code. In some embodiments, the decoder tests a bounded number of noise sequences, abandoning the search and declaring an erasure after these sequences are exhausted. Abandonment decoding nevertheless approximates maximum likelihood decoding within a tolerable bound and achieves channel capacity when the abandonment threshold is chosen appropriately.
Public/Granted literature
- US20220393702A1 Decoding Signals By Guessing Noise Public/Granted day:2022-12-08
Information query
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