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Optimal conditions for signal reconstruction based on STFT Magnitude spectrum

机译:基于STFT幅度谱的信号重建的最佳条件

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Signal reconstruction based on magnitude spectrum of short term Fourier Transform (STFT) only has been a challenging topic since many years. Whereas theory proves that's completely possible to reconstruct a signal from its magnitude spectrum and minimal phase data, practical implementations are still not able to do that quite accurately. Therefore, this study aims to set the optimal initial conditions required to reconstruct a signal from the STFT magnitude spectrum with an arbitrary or zero initial phase. Results prove that an optimal selection of the frame length, the shift rate and the iterations number allows enhancing the quality of the reconstructed signals.
机译:基于短期傅里叶变换(STFT)的幅度谱的信号重建仅为自多年来一直是一个具有挑战性的话题。虽然理论证明,这完全可以从其幅度谱和最小相位数据重建信号,实际实现仍然无法准确地完成这一点。因此,本研究旨在设定以任意或零初期的来自STF幅度谱重建信号所需的最佳初始条件。结果证明了帧长度的最佳选择,换档率和迭代次数允许增强重建信号的质量。

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