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However, the energy of system noise or reference input usually limits in a specified frequency range. To reduce such a design conservatism, this article develops a distributed filtering approach based on dual scale, that is, filtering over a finite-time interval from time scale and also on a specified finite-frequency region from the frequency scale. Our target is to make the filtering error under sensor networks monitoring be relaxed into an ellipsoid bound rather than asymptotically converging to zero for exogenous noise in a specified frequency range. Finally, two illustrative examples demonstrate the strength of the developed filtering approach.\n                  <\/jats:p>","DOI":"10.1177\/0959651821997587","type":"journal-article","created":{"date-parts":[[2021,3,26]],"date-time":"2021-03-26T06:00:10Z","timestamp":1616738410000},"page":"1326-1336","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Dual-finite distributed\n                    <i>H<\/i>\n                    <sub>\u221e<\/sub>\n                    filtering in sensor networks"],"prefix":"10.1177","volume":"235","author":[{"given":"Changshuo","family":"Wang","sequence":"first","affiliation":[{"name":"Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering, Jiangnan University, Wuxi, 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