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Optimal Conditions for Signal Reconstruction Based on STFT Magnitude Spectrum

机译:基于STFT幅度谱的信号重构最佳条件

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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:多年来,基于短期傅立叶变换(STFT)幅度谱的信号重构一直是一个具有挑战性的话题。尽管理论证明完全有可能从其幅度谱和最小相位数据中重建信号,但实际的实现仍然不能十分精确地做到这一点。因此,本研究旨在设定从STFT幅度谱以任意或零初始相位重建信号所需的最佳初始条件。结果证明,对帧长,移位率和迭代次数的最佳选择可以增强重构信号的质量。

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