Signal denoising method and device based on DE optimization wavelet parameters
The invention discloses a signal denoising method and device based on DE optimization wavelet parameters. The method comprises the following steps: selecting an initial wavelet basis function, and performing wavelet decomposition on a noisy signal according to an initial decomposition layer number a...
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| creator | WU NIAN BAI BO BIE SHIGUANG WANG XIAOWU MIAO ZHONGLING SHI YUAN ZHU JINSONG KE XIANBIN LIU FENG YAO JUNWEN GONG HAO ZHANG GUANGZHOU LIU PINGYUAN LI MENGQI PAN XIAOMIN LI QIANG CHEN CHENG |
| description | The invention discloses a signal denoising method and device based on DE optimization wavelet parameters. The method comprises the following steps: selecting an initial wavelet basis function, and performing wavelet decomposition on a noisy signal according to an initial decomposition layer number and an initial layering threshold value under each decomposition scale to obtain a detail coefficient under each decomposition scale and an approximation coefficient under the maximum decomposition scale; taking the initial wavelet basis function, the initial decomposition layer number and the initial layering threshold value under each decomposition scale as position parameters of an initial population in a DE algorithm, and obtaining an optimal wavelet basis function, an optimal decomposition layer number and an optimal layering threshold value under each decomposition scale based on the DE algorithm; and according to the optimal wavelet basis function, the optimal decomposition layer number and the optimal layeri |
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The method comprises the following steps: selecting an initial wavelet basis function, and performing wavelet decomposition on a noisy signal according to an initial decomposition layer number and an initial layering threshold value under each decomposition scale to obtain a detail coefficient under each decomposition scale and an approximation coefficient under the maximum decomposition scale; taking the initial wavelet basis function, the initial decomposition layer number and the initial layering threshold value under each decomposition scale as position parameters of an initial population in a DE algorithm, and obtaining an optimal wavelet basis function, an optimal decomposition layer number and an optimal layering threshold value under each decomposition scale based on the DE algorithm; and according to the optimal wavelet basis function, the optimal decomposition layer number and the optimal layeri</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | Signal denoising method and device based on DE optimization wavelet parameters |
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