摘要
在脉冲噪声背景下,传统信号降噪方法性能退化,无法去除强脉冲噪声,而且会出现计算复杂度增加的问题.本文提出一种基于非线性滤波(Nonlinear Filtering, NLF)和小波阈值去噪的联合算法,该方法利用非线性滤波算法抑制强脉冲噪声点干扰,通过改进的对数小波阈值函数去噪方法进行全局处理,快速而且高质量的完成对信号降噪.实验结果表明,本文所提算法对脉冲噪声背景下的多种信号类型都具有可行性,能够获得更高的峰值信噪比,具有很好的降噪效果.
Under the background of impulse noise,the performance of traditional signal denoising methods is degraded,which cannot remove strong impulse noise,and the computational complexity will increase.In this paper,a combined algorithm based on non-linear filtering(Nonlinear Filtering,NLF)and wavelet threshold denoising is proposed.This method uses the non-linear filter algorithm to suppress the strong pulse noise point interference,and uses the improved logarithmic wavelet threshold function to denoise the signal globally,so as to reduce the signal noise quickly and with high quality.The experimental results show that the algorithm proposed in this paper is feasible for a variety of signal types under the background of impulse noise.This method can obtain higher peak signal-to-noise ratio,and has good noise reduction effect.
作者
江莉
向世召
焦予栋
尚文擎
王燕妮
JIANG Li;XIANG Shi-zhao;JIAO Yu-dong;SHANG Wen-qing;WANG Yan-ni(College of Information and Control Engineering,Xi′an University of Architecture and Technology,Xi′an 710055,China)
出处
《小型微型计算机系统》
CSCD
北大核心
2023年第12期2844-2850,共7页
Journal of Chinese Computer Systems
基金
国家自然科学基金项目(61803294)资助
陕西省科技计划项目(2020JQ-684,2020JM-499)资助。
关键词
脉冲噪声
非线性滤波
小波阈值去噪
硬软阈值函数
峰值信噪比
impulse noise
non-linear filtering
wavelet threshold denoising
hard and soft threshold function
peak signal-to-noise ratio
