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The purpose of this paper is to propose a novel method for denoising a signal based on the wavelet transform.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>The vibration signal with noise which can be collected by wireless network is decomposed by wavelet transform. In order to select optimal level of wavelet decomposition, based on noise's frequency, power spectral density is used. A soft thresholding method based on minimum mean\u2010variance is used for vibration signal de\u2010noising with Gaussian noise.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>A novel method has been described in his paper. Based on the relationship between vibration signal's character and noise frequency, the way to get rid of noise is combined wavelet transform with power spectral density.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>In order to select optimal level of wavelet decomposition, based on noise's frequency, power spectral density is used. A soft thresholding method based on minimum mean\u2010variance is used for vibration signal denoising with Gaussian noise.<\/jats:p><\/jats:sec>","DOI":"10.1108\/k-10-2012-0076","type":"journal-article","created":{"date-parts":[[2013,6,20]],"date-time":"2013-06-20T09:33:52Z","timestamp":1371720832000},"page":"604-613","source":"Crossref","is-referenced-by-count":3,"title":["Wavelet de\u2010noising techniques with power spectral density to vibration signal"],"prefix":"10.1108","volume":"42","author":[{"given":"Weizhen","family":"Chen","sequence":"first","affiliation":[]},{"given":"Bingwen","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Hao","family":"Zhan","sequence":"additional","affiliation":[]},{"given":"Long","family":"Zhou","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2022021620211057900_b3","doi-asserted-by":"crossref","unstructured":"Alvandi, A. and Cremona, C. 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