基于STFT和修正群延迟的进化谱估计

S. Narasimhan, S. Pavanalatha
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引用次数: 3

摘要

提出了一种基于短时傅里叶变换(STFT)和修正群延迟(MGD)的进化谱估计方法。在这里,STFT实现交叉项抑制,MOD保留矩形窗口的频率分辨率。它适用于时变系统产生的确定性和随机信号。该方法由于使用了MGD而提高了信噪比。结果表明,对于线性啁啾信号和时变随机过程,其频率分辨率接近WVD,优于演化周期图(EP)和STFT。此外,其抗噪能力也优于EP和STFT。
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Estimation of evolutionary spectrum based on STFT and modified group delay
This paper proposes a new estimator for evolutionary spectrum (ES) based on short time Fourier transform (STFT) and modified group delay (MGD). Here, the STFT enables cross term suppression and the MOD preserves the frequency resolution of the rectangular window. It is applicable to deterministic and random signals generated by time varying systems. The proposed method provides signal to noise ratio enhancement due to the use of MGD. The results indicate that for linear chirp signals and for time varying random process, its frequency resolution is close to that of WVD and better than evolutionary periodogram (EP) and STFT. Further, its noise immunity is better than those of EP and STFT.
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