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首页> 外文期刊>International Journal of Wavelets, Multiresolution and Information Processing >SYMMETRIZATION AND ENHANCEMENT OF THE CONTINUOUS MORLET TRANSFORM FOR SPECTRAL DENSITY ESTIMATION
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SYMMETRIZATION AND ENHANCEMENT OF THE CONTINUOUS MORLET TRANSFORM FOR SPECTRAL DENSITY ESTIMATION

机译:连续Morlet变换的对称化和增强,用于光谱密度估计

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摘要

The forward and inverse wavelet transform using the continuous Morlet basis may be symmetrized by using an appropriate normalization factor. The loss of response due to wavelet truncation is addressed through a renormalization of the wavelet based on power. The spectral density has physical units which may be related to the squared amplitude of the signal, as do its margins the mean wavelet power and the integrated instant power, giving a quantitative estimate of the power density with temporal resolution. Deconvolution with the wavelet response matrix reduces the spectral leakage and produces an enhanced wavelet spectrum providing maximum resolution of the harmonic content of a signal. Applications to data analysis are discussed.
机译:可以通过使用适当的归一化因子来对称化使用连续Morlet基的正向和逆小波变换。通过基于功率对小波进行重新归一化,可以解决由于小波截断引起的响应损失。频谱密度具有可能与信号的平方幅度有关的物理单位,其余量等于平均小波功率和积分瞬时功率,从而给出了具有时间分辨率的功率密度的定量估计。与小波响应矩阵进行反卷积可减少频谱泄漏并产生增强的小波频谱,从而提供信号谐波含量的最大分辨率。讨论了在数据分析中的应用。

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