杜娟

摘? 要： 針對電子音樂信號受噪聲干擾易出現(xiàn)信號失真、電子音樂存在斷點的問題，提出改進小波變換的電子音樂信號去噪方法。首先，分析不同尺度中電子音樂信號小波系數(shù)相關性，采用軟閾值算法去除電子音樂中的噪聲;然后，采用修勻法對去噪后電子音樂信號進行處理，提升電子音樂信號整體連續(xù)性。結果表明，改進小波變換去噪后電子音樂信號波動區(qū)間與去噪前相同，去噪后電子音樂信號未受損，信號連續(xù)性好，去噪性能明顯優(yōu)于對比方法。

關鍵詞： 改進小波變換; 電子音樂; 信號去噪; 信號處理; 軟閾值算法; 去噪性能

中圖分類號： TN911.4?34; TM714? ? ? ? ? ? ? ? ? ?文獻標識碼： A? ? ? ? ? ? ? ? ? ?文章編號： 1004?373X（2020）03?0062?04

Research on electronic music signal denoising based on improved wavelet transform

DU Juan

（School of Music and Dance， Zhengzhou University of Science and Technology， Zhengzhou 450000， China）

Abstract： A method of electronic music signal denoising based on improved wavelet transform is proposed to deal with the deficiency that the electronic music signals are prone to signal distortion due to noise interference and breakpoints occur in electronic music. Firstly， the correlation of wavelet coefficients of electronic music signal in different scales is analyzed and the noise in electronic music is removed by the soft threshold algorithm. Seconolly， the electronic music signal after denoising is processed by smoothing method to improve the overall signal continuity. The results show that the fluctuation range of the electronic music signal after denoising by improved wavelet transform is the same as that before denoising， and the electronic music signal is not damaged and the signal continuity is good after denoising. Therefore， the denoising performance of the proposed algorithm is obviously better than that of the contrast algorithm.

Keywords： improved wavelet transform; electronic music; signal denoising; signal processing; soft threshold algorithm; denoising performance