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Time-frequency approximations with applications to filtering, modulation, and propagation

机译:与应用到过滤,调制和传播的时间频率近似

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Signals with time-varying spectral content arise in a number of situations, such as in shallow water sound propagation, biomedical signals, machine and structural vibrations, and seismic signals, among others. The Wigner distribution and its generalization have become standard methods for analyzing such time-varying signals. We derive approximations of the Wigner distribution that can be applied to gain insights into the effects of filtering, amplitude modulation, frequency modulation, and dispersive propagation on the time-varying spectral content of signals.
机译:具有时变频谱内容的信号在许多情况下出现,例如在浅水声音传播,生物医学信号,机器和结构振动中,以及地震信号等。 Wigner分布及其泛化已成为分析这种时变信号的标准方法。 我们推出了可以应用的Wigner分布的近似,以便在信号的时变频谱内容上获得滤波,幅度调制,频率调制和分散传播的效果。

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