{"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/fast-periodicity-estimation-and","title":"Fast Periodicity Estimation and Reconstruction of hidden components from noisy periodic signal","arxiv_id":"1901.09167","date":"2019-01-26","proceeding":null,"authors":["Bharadwaj Aryasomayajula","Dibakar Sil","Sarbani Palit"],"abstract":"Periodicity estimation from an arbitrary length noisy signal is\ncomputationally very costly. A recently developed Ramanujan Fat Dictionary is\none of the ways to find the hidden components from an arbitrary length (non\nintegral multiple of period) of the signal. This method suffers from high run\ntime due to the lack of information about the period and effect of noise on the\nsignal. We propose a new method that efficiently estimates the period of the\nsignal and finding the hidden components thus becomes easy from it. Our method\nworks well with significantly low SNR values and runs in O(n) time complexity,\nn being length of the signal. Comparision of run time analysis between our\nmethod for period estimation of a given signal and SVD method at various SNR\nvalues has been made and the corresponding hidden components are there by\nextracted by projecting onto the factor-Ramanujan Subspaces.","url_abs":"http://arxiv.org/abs/1901.09167v1","url_pdf":"http://arxiv.org/pdf/1901.09167v1.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":"fast-periodicity-estimation-and","repo_url":"https://github.com/Dibakar1/Hidden-Period-detection-and-Signal-Reconstruction","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"period-estimation","task_name":"Period Estimation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}