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Denoising Method And Quantitative Evaluation Of Raman Spectroscopy Based On Wavelet Transform

Abstract

小波变换是傅里叶变换的新发展,它既保留了傅里叶变换的优点,又弥补了傅里叶变换在信号分析上的一些不足。原则上讲,小波变换适用于以往一切傅里叶变换应用的领域。作为小波变换的重要应用领域,近十几年来,小波去噪的理论及应用也得到了很大的发展。本文首先阐述了小波分析的基本原理和基本概念,介绍了小波去噪经典的三大类方法:模极大值法、空域相关法和小波域阈值法,并分别基于这三种方法对含噪的拉曼光谱数据进行了去噪处理实验,实验结果表明阈值法去噪效果优于其它两类方法。论文接着给出了阈值法去噪的步骤,并对软、硬阈值各自取阈值方式下的拉曼光谱信号进行了去噪处理,重点对不同的阈值方式下的去噪质量做了定量评价,进而加入了...Wavelet transform is the new development of Fourier transform, which has kept the advantages of Fourier transform and overcome some disadvantages of signal analysis in Fourier transform algorithm. In principle, wavelet transform can be applied to all the field where Fourier transform is widely used. As an important wavelet transform application field, over the last decade, the theory and applicati...学位:工程硕士院系专业:信息科学与技术学院自动化系_控制工程学号:X200722302

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