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Operator based multicomponent AM-FM signal separation approach

机译:基于运营商的多分量AM-FM信号分离方法

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The operator-based signal separation approach, which formulates the signal separation as an optimization problem, uses an adaptive operator to separate a signal into additive subcomponents. Furthermore, it is possible to design different operators to fit different signal models. In this paper, we propose a new kind of differential operator to separate multicomponent AM-FM signals. We then use the estimated operators to calculate each sub-component's envelope and instantaneous frequency. To demonstrate the efficacy of the proposed method, we compare the decomposition and AM-FM demodulation results of several signals, including real-life signals.
机译:基于运算符的信号分离方法将信号分离公式化为优化问题,它使用自适应运算符将信号分离为附加子分量。此外,可以设计不同的运算符以适合不同的信号模型。在本文中,我们提出了一种新型的差分算子来分离多分量AM-FM信号。然后,我们使用估计的运算符来计算每个子组件的包络和瞬时频率。为了证明所提方法的有效性,我们比较了包括真实信号在内的几种信号的分解和AM-FM解调结果。

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