convolutionalencdec
A manual C implementation of a FEC convolutional encoder and decoder (Viterbi) to test techniques for SW implementaton.
Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (4.7%) to scientific vocabulary
Repository
A manual C implementation of a FEC convolutional encoder and decoder (Viterbi) to test techniques for SW implementaton.
Basic Info
- Host: GitHub
- Owner: ucb-cyarp
- License: bsd-3-clause
- Language: C
- Default Branch: main
- Size: 214 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 3
Metadata Files
README.md
ConvolutionalEncDec
Zenodo Concept DOI: 
A manual C implementation of a FEC convolutional encoder and decoder (Viterbi) to test techniques for SW implementaton.
Citing This Software:
If you would like to reference this software, please cite Christopher Yarp's Ph.D. thesis.
At the time of writing, the GitHub CFF parser does not properly generate thesis citations. Please see the bibtex entry below.
bibtex
@phdthesis{yarp_phd_2022,
title = {High Speed Software Radio on General Purpose CPUs},
school = {University of California, Berkeley},
author = {Yarp, Christopher},
year = {2022},
}
Owner
- Name: ucb-cyarp
- Login: ucb-cyarp
- Kind: organization
- Location: United States of America
- Repositories: 4
- Profile: https://github.com/ucb-cyarp
Organization for Christopher Yarp's Ph.D. Thesis Work
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: >-
ConvolutionalEncDec
message: >-
Please use the following metadata when citing this
software. Generated Bibtex should be a @phdthesis entry.
If the automatic generator does not produce an
entry of this type, please see the "Citing This
Software" section of the Readme.md file.
type: software
authors:
- given-names: Christopher
family-names: Yarp
email: cyarp@eecs.berkeley.edu
affiliation: 'University of California, Berkeley'
orcid: 'https://orcid.org/0000-0003-1083-3244'
url: "https://github.com/ucb-cyarp/ConvolutionalEncDec"
identifiers:
- type: doi
value: 10.5281/zenodo.6526425
description: >-
Zenodo concept DOI representing all versions of
this software
- type: doi
value: 10.5281/zenodo.6526426
description: Zenodo DOI for v1.0.1
doi: 10.5281/zenodo.6526425
license: BSD-3-Clause
preferred-citation:
type: thesis
thesis-type: "PhD thesis"
status: in-preparation
authors:
- given-names: Christopher
family-names: Yarp
email: cyarp@eecs.berkeley.edu
affiliation: 'University of California, Berkeley'
orcid: 'https://orcid.org/0000-0003-1083-3244'
title: "High Speed Software Radio on General Purpose CPUs"
institution:
name: "University of California, Berkeley"
year: 2022