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The ED technique is employed to identify the existence of the primary user (PU) signal in the case of high signal\u2010to\u2010noise ratio (<jats:italic>SNR<\/jats:italic>) by comparing the received signal with a threshold. In the case of low<jats:italic>SNR<\/jats:italic>, the ED technique alone cannot be adopted for decision making about the status of the PU due to the noise impact on the received signals. Hence, the stage of WD is exploited prior to the ED for reducing the noise effect and detecting the PU signal in the presence of noise. The detection performance of the proposed model is compared with those of the ED alone and the previous related two\u2010stage spectrum sensing methods. Simulation results show that the proposed model improves the false alarm rate compared to the ED alone by 36% and 6%, respectively, at low<jats:italic>SNR<\/jats:italic>s of \u221215 and \u221220 dB. Also, the proposed model yields the smallest detection time compared to the previous two\u2010stage spectrum sensing methods. The proposed model can be used to minimize the probability of false alarm, achieve a better probability of detection, and improve the sensing process in CR systems.<\/jats:p>","DOI":"10.1002\/dac.4400","type":"journal-article","created":{"date-parts":[[2020,9,22]],"date-time":"2020-09-22T08:15:44Z","timestamp":1600762544000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Adaptive two\u2010stage spectrum sensing model using energy detection and wavelet denoising for cognitive radio systems"],"prefix":"10.1002","volume":"33","author":[{"given":"Ahmed","family":"Fawzi","sequence":"first","affiliation":[{"name":"Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering Menoufia University Menouf Egypt"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7509-2120","authenticated-orcid":false,"given":"Walid","family":"El\u2010Shafai","sequence":"additional","affiliation":[{"name":"Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering Menoufia University Menouf Egypt"}]},{"given":"Mohammed","family":"Abd\u2010Elnaby","sequence":"additional","affiliation":[{"name":"Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering Menoufia University Menouf Egypt"},{"name":"Department of Computer Engineering College of Computers and Information Technology, Taif University Al\u2010Hawiya 21974 Kingdom of Saudi Arabia"}]},{"given":"Abdelhalim","family":"Zekry","sequence":"additional","affiliation":[{"name":"Department of Electronics and Communications Engineering, Faculty of Engineering Ain Shams University Cairo Egypt"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4117-3496","authenticated-orcid":false,"given":"Fathi E.","family":"Abd El\u2010Samie","sequence":"additional","affiliation":[{"name":"Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering Menoufia University Menouf Egypt"},{"name":"Department of Information Technology College of Computer and Information sciences, Princess Nourah BintAbdulrahman University Riyadh Saudi Arabia"}]}],"member":"311","published-online":{"date-parts":[[2020,9,20]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"crossref","unstructured":"Islam M. 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