{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/semi-supervised-radio-signal-identification","title":"Semi-Supervised Radio Signal Identification","arxiv_id":"1611.00303","date":"2016-11-01","proceeding":null,"authors":["Timothy J. O'Shea","Nathan West","Matthew Vondal","T. Charles Clancy"],"abstract":"Radio emitter recognition in dense multi-user environments is an important\ntool for optimizing spectrum utilization, identifying and minimizing\ninterference, and enforcing spectrum policy. Radio data is readily available\nand easy to obtain from an antenna, but labeled and curated data is often\nscarce making supervised learning strategies difficult and time consuming in\npractice. We demonstrate that semi-supervised learning techniques can be used\nto scale learning beyond supervised datasets, allowing for discerning and\nrecalling new radio signals by using sparse signal representations based on\nboth unsupervised and supervised methods for nonlinear feature learning and\nclustering methods.","url_abs":"http://arxiv.org/abs/1611.00303v2","url_pdf":"http://arxiv.org/pdf/1611.00303v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"semi-supervised-radio-signal-identification","repo_url":"https://github.com/mistic-lab/IPSW-RFI","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"clustering","task_name":"Clustering"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}