{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T10:29:37Z","timestamp":1760956177264,"version":"build-2065373602"},"reference-count":24,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2022,10,28]],"date-time":"2022-10-28T00:00:00Z","timestamp":1666915200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"EU Horizon","award":["101087348","IP-2018-01-3739","KK.01.2.1.02.0179","uniri-tehnic-18-17"],"award-info":[{"award-number":["101087348","IP-2018-01-3739","KK.01.2.1.02.0179","uniri-tehnic-18-17"]}]},{"name":"Croatian Science Foundation","award":["101087348","IP-2018-01-3739","KK.01.2.1.02.0179","uniri-tehnic-18-17"],"award-info":[{"award-number":["101087348","IP-2018-01-3739","KK.01.2.1.02.0179","uniri-tehnic-18-17"]}]},{"name":"IRI2","award":["101087348","IP-2018-01-3739","KK.01.2.1.02.0179","uniri-tehnic-18-17"],"award-info":[{"award-number":["101087348","IP-2018-01-3739","KK.01.2.1.02.0179","uniri-tehnic-18-17"]}]},{"name":"University of Rijeka","award":["101087348","IP-2018-01-3739","KK.01.2.1.02.0179","uniri-tehnic-18-17"],"award-info":[{"award-number":["101087348","IP-2018-01-3739","KK.01.2.1.02.0179","uniri-tehnic-18-17"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This paper approaches the problem of signal denoising in time-variable noise conditions. Non-stationary noise results in variable degradation of the signal\u2019s useful information content over time. In order to maximize the correct recovery of the useful part of the signal, this paper proposes a denoising method that uses a criterion based on amplitude segmentation and local R\u00e9nyi entropy estimation which are limited over short time blocks of the signal spectrogram. Local estimation of the signal features reduces the denoising problem to the stationary noise case. Results, presented for synthetic and real data, show consistently better performance gained by the proposed adaptive method compared to denoising driven by global criteria.<\/jats:p>","DOI":"10.3390\/s22218251","type":"journal-article","created":{"date-parts":[[2022,10,30]],"date-time":"2022-10-30T10:47:57Z","timestamp":1667126877000},"page":"8251","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Block-Adaptive R\u00e9nyi Entropy-Based Denoising for Non-Stationary Signals"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5283-6916","authenticated-orcid":false,"given":"Nicoletta","family":"Saulig","sequence":"first","affiliation":[{"name":"Faculty of Engineering, Juraj Dobrila University of Pula, 52100 Pula, Croatia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4058-8449","authenticated-orcid":false,"given":"Jonatan","family":"Lerga","sequence":"additional","affiliation":[{"name":"Faulty of Engineering, University of Rijeka, 51000 Rijeka, Croatia"},{"name":"Center for Artificial Intelligence and Cybersecurity, University of Rijeka, 51000 Rijeka, Croatia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5659-5598","authenticated-orcid":false,"given":"Sini\u0161a","family":"Mili\u010di\u0107","sequence":"additional","affiliation":[{"name":"Faulty of Informatics, Juraj Dobrila University of Pula, 52100 Pula, Croatia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5776-2108","authenticated-orcid":false,"given":"\u017deljka","family":"Tomasovi\u0107","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, Juraj Dobrila University of Pula, 52100 Pula, Croatia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,10,28]]},"reference":[{"key":"ref_1","unstructured":"Boashash, B. 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