摘要
电子音乐信号受到多种因素的影响,包含了大量的噪声,直接影响电子音乐信号的后续处理。为了提高电子音乐信号质量,改善信号的信噪比,针对当前电子音乐信号降噪算法存在的局限性,设计了一种基于小波变换的电子音乐信号降噪算法。首先分析电子音乐信号降噪的研究现状,指出各种电子音乐信号降噪算法的弊端,然后采集电子音乐信号;对其进行截尾操作,提取最有效的电子音乐信号,最后引入小波变换对电子音乐信号进行多尺度分解和重构操作,过滤掉电子音乐信号中的噪声。并采用Matlab 2018编程实现电子音乐信号降噪仿真实验。结果表明,小波变换克服了当前电子音乐信号降噪算法的不足,电子音乐信号降噪的精度高,能够有效识别噪声,使得降噪后的电子音乐信号具有更高的信噪比。
Electronic music signal is affected by many factors, including lots noises, which directly affects the follow-up processing of electronic music signal. In order to improve the quality of electronic music signal and reduce the signal-to-noise ratio, aiming at the limitations of current electronic music signal denoising algorithm, a denoising algorithm based on wavelet transform is designed. Firstly, the electronic music signal is analyzed. The research status of music signal noise reduction is summarized, the disadvantages of various electronic music signal noise reduction algorithms are pointed out, then electronic music signals are collected and their tails are truncated, the most effective electronic music signals are then extracted, finally wavelet transform is introduced to carry out multi-scale decomposition and reconstruction of electronic music signals, and filter out the noise in electronic music signals. Matlab 2018 is used to complete electronic music signal noise reduction simulation experiments. The results show that the wavelet transform overcomes the shortcomings of the current electronic music signal denoising algorithms. The electronic music signal denoising accuracy is high. It can identify noise, the electronic music signal after denoising has a higher signal-to-noise ratio.
作者
周玉花
刘勇飞
ZHOU Yuhua;LIU Yongfei(Ministry of Basic and Quality Education,Qinghai College of Architectural Technology,Qinghai Xining 810012,China;The Computer College,Qinghai Normal University,Xining,Qinghai 810012,China)
出处
《微型电脑应用》
2020年第4期129-132,共4页
Microcomputer Applications
关键词
电子音乐
信号质量
仿真实验
噪声过滤
信号信噪比
electronic music
signal quality
simulation experiment
noise filtering
signal to noise ratio
作者简介
周玉花(1983-),女,学士,研究方向:音乐;刘勇飞(1981-),男,汉,在读博士,研究方向:从事图论的算法设计。
