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Time-Frequency Filtering Based on Model Fitting in the Time-Frequency Plane

机译:基于模型拟合在时频平面中的时频滤波

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摘要

The modulus of time-frequency representations, like the short-time Fourier or wavelet transforms, of a multicomponent signal exhibit ridges from which one usually computes estimations of the instantaneous frequencies of the modes making up the signal. But, due to the finite frequency resolution, the estimations thus obtained are piecewise constant. Our aim in this letter is to introduce a novel method for the estimation of the instantaneous frequencies of the modes based on the modeling of the modulus of the short-time Fourier transform, and then to propose a novel technique for mode retrieval. Numerical experiments carried out on both simulated and real signals demonstrate the benefits of the proposed approach over others based on the short-time Fourier transform.
机译:多组分信号的短时间傅里叶或小波变换的时频表示模量,其展示脊通常计算构成信号的模式的瞬时频率的估计。但是,由于有限频率分辨率,因此获得的估计是分段常数。我们在这封信中的目标是基于短时傅里叶变换模量的​​模量来介绍一种估计模式的瞬时频率的新方法,然后提出一种用于模式检索的新技术。在模拟和实际信号上进行的数值实验证明了基于短时傅里叶变换的提出方法对其他方法的好处。

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