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Time-Frequency Filtering for LFM Based on Time S-Transform and Time Inverse S-Transform

机译:基于时间S变换和时间逆S变换的LFM时频滤波

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The Linear Frequency Modulation (LFM) signal is a classical non-stationary random signal. And the processing method to LFM must expand from frequency domain to time-frequency domain. The S transform (ST) is a time-frequency analysis method which has an adaptive window, and the width changes with frequency. The classical ST algorithm is Time S-transform, and the corresponding inverse ST (IST) is Time IST. In this paper, the Time ST and Time IST algorithms are applied to the filtering of LFM. Simulation results show us that the method is effective to the LFM filtering.
机译:线性调频(LFM)信号是经典的非平稳随机信号。 LFM的处理方法必须从频域扩展到时频域。 S变换(ST)是一种时频分析方法,具有自适应窗口,并且宽度随频率变化。经典的ST算法是时间S变换,相应的逆ST(IST)是时间IST。本文将Time ST和Time IST算法应用于LFM的滤波。仿真结果表明,该方法对LFM滤波有效。

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