CAJ | 학술논문

针对 Mallat 小波变换在算法原理上不具备数据流动性,无法满足连续采样信号实时消噪处理要求的问题,介绍了一种基于 Mallat 算法改进的垒墙式小波变换算法,分析了该算法所具有的数据流动性,推导了数据流动性与小波分解层数的关系,并将该算法运用到被加性高斯白噪声污染的鱼雷电磁引信目标信号的实时消噪处理中,选取双正交样条小波作为小波元,并对目标信号做两层小波分解与重构.通过 MATLAB 环境下的仿真试验,验证了采用该算法实现连续采样信号实时消噪的可行性.消噪后的目标信号具有失真度较小,波形平滑的特点.
침대 Mallat 소파변환재산법원리상불구비수거류동성,무법만족련속채양신호실시소조처리요구적문제,개소료일충기우 Mallat 산법개진적루장식소파변환산법,분석료해산법소구유적수거류동성,추도료수거류동성여소파분해층수적관계,병장해산법운용도피가성고사백조성오염적어뇌전자인신목표신호적실시소조처리중,선취쌍정교양조소파작위소파원,병대목표신호주량층소파분해여중구.통과 MATLAB 배경하적방진시험,험증료채용해산법실현련속채양신호실시소조적가행성.소조후적목표신호구유실진도교소,파형평활적특점.
The wavelet transform based on Mallat algorithm cannot process flowing data, it is therefore unable to meet the requirement for real-time denoising of continuous sampling signals. As a result, this paper proposes a novel wavelet transform based on Mallat algorithm modification, called bricklaying algorithm. The ability of the proposed algorithm to process flowing data is analyzed, and the relationship between data flowing and level of wavelet decomposition is de-duced. The bricklaying algorithm is applied to real-time denoising of torpedo electromagnetic fuze signal in the back-ground of additive white Gaussian noise, where a biorthogonal spline wavelet is taken as the wavelet function, and 2-level wavelet decomposition and reconstruction are performed. The feasibility of the bricklaying algorithm in re-al-time denoising of continuous sampling signals is verified via MATLAB simulations. The results show that the denoised target signal gains the feature of smooth waveform with smaller distortion.