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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,用于谱密度估计

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摘要

The forward and inverse wavelet transform using the continuous Morlet basis may bensymmetrized by using an appropriate normalization factor. The loss of response duento wavelet truncation is addressed through a renormalization of the wavelet based onnpower. The spectral density has physical units which may be related to the squarednamplitude of the signal, as do its margins the mean wavelet power and the integratedninstant power, giving a quantitative estimate of the power density with temporal resolution.nDeconvolution with the wavelet response matrix reduces the spectral leakage andnproduces an enhanced wavelet spectrum providing maximum resolution of the harmonicncontent 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npower对小波进行重新归一化来解决因小波截断而导致的响应丢失。频谱密度具有可能与信号平方振幅相关的物理单位,其余量等于平均小波功率和积分瞬时功率,从而可以定量估计具有时间分辨率的功率密度。频谱泄漏会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。讨论了数据分析的应用

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