摘要
针对传统小波域阈值去噪的局限性和缺陷,提出了基于提升小波变换的改进阈值函数去噪新方法。通过提升小波变换提取含噪信号小波系数,并利用新阈值函数进行降噪处理。实验仿真结果表明,该方法运算速度快,能有效抑制噪声,信噪比和均方根误差性能均优于经典阈值函数和已有的两种改进阈值函数,在对雷达弱小目标的检测中有很好的应用价值。
Aimed at the shortcomings and limitation of threshold de-noising in wavelet,a new threshold function is introduced based on lifting wavelet.It gains the wavelet coefficient in noising signal through lifting wavelet,and makes use of the new threshold function to process signal de-noising.The simulation results manifest that the new threshold function can suppress the noise effectively and gain a faster processing.It is better than classical threshold function and the existing improved threshold functions in SNR and MSE and it has high practical value in the radar dim target detection.
出处
《计算机工程与应用》
CSCD
2012年第14期143-147,共5页
Computer Engineering and Applications
基金
陕西省电子信息系统综合集成重点实验室基金(No.201107Y03)
关键词
提升小波变换
阈值函数
小波阈值去噪
雷达信号
lifting wavelet
threshold function
wavelet threshold de-noising
radar signal
