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引用次数: 0
摘要
本文提出了一种利用连续小波变换(CWT)代替离散小波变换(DWT)的医学信号分解分析新方法。利用该方法和小波变换对来自MIT- BIH Minic数据库的呼吸信号进行了分析，结果表明，CWT分解信号不仅能得到小波变换所能得到的全部信息，而且能很好地体现信号小波系数在谱中的演化过程，并通过谱的缩放将信号分解到小波空间中，而不是按照数学算法对信号进行分解。
Medical Signal Decomposition Analysis by Means of Continuous Wavelet Transform
This paper proposes a novel approach for medical signal decomposition analysis by using Continue Wavelet Transform (CWT) instead of Discrete Wavelet Transform (DWT) through specialized software. A respiration signal from MIT- BIH Minic Database is analyzed by this approach and by DWT, indicating that decomposing signal by CWT not only gives all the information that DWT gives, but also demonstrates the signal wavelet coefficients evolution in spectra, and decomposes signal into wavelet space by scaling spectrum instead of decomposes signal according to mathematical algorithm.
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