CAJ | 학술논문

小波分析对于信号处理具有十分重要的作用。在已知噪声频率范围情况下使用传统Mallat小波变换方法对信号处理效果较好，但这种方法无法消除信号中的大量未知白噪声。文中讨论在Mallat变化法基础上引入SURF阈值，对小波进行过滤处理，实现有效过滤白噪声。文中设计了基于SURF阈值改进的Mallat变换法，并在Matlab环境下进行去噪实验，通过将实验结果与单一Mallat小波变换法结果进行对比，结果显示改进后的Mallat小波变换法可以去除大量白噪声，使信号更加光滑、保真。
소파분석대우신호처리구유십분중요적작용。재이지조성빈솔범위정황하사용전통Mallat소파변환방법대신호처리효과교호，단저충방법무법소제신호중적대량미지백조성。문중토론재Mallat변화법기출상인입SURF역치，대소파진행과려처리，실현유효과려백조성。문중설계료기우SURF역치개진적Mallat변환법，병재Matlab배경하진행거조실험，통과장실험결과여단일Mallat소파변환법결과진행대비，결과현시개진후적Mallat소파변환법가이거제대량백조성，사신호경가광활、보진。
Wavelet analysis has plays a very important role for the signal processing. Mallat wavelet transform method can be better signal processing in the case of the noise frequency range are known,but not eliminate the unknown white noise signal. Introduce SURF thresh-old based on Mallat transform method for wavelet filter processing,which can effectively filter white noise. Improved Mallat transform method is designed based on the SURF threshold,and carry out the denoising experiment under the Matlab environment. Compared the experiment results with a single Mallat wavelet transformation method results,indicate that improved Mallat wavelet transform method can remove a lot of white noise,making the signal smoother.