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On the use of EM and high resolution atomic decomposition to estimate a linear mixture of chirplets

机译:关于使用EM和高分辨率原子分解来估计chi的线性混合

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This paper describes the joint use of the expectation maximization method (EM) and high resolution atomic decomposition (HRAD) to estimate the signals forming a linear mixture. HRAD overcomes the limitation in resolution of the conventional atomic decomposition, and is utilized as the initial estimate for EM. EM with HRAD outperforms other existing methods, such as single HRAD, conventional AD, and conventional AD plus EM. The Cramer-Rao Bound is used as a benchmark in the comparison, and shows the efficiency of the suggested method for high signal-to-noise ratio. The signals are modeled as chirplets.
机译:本文介绍了期望最大化方法(EM)和高分辨率原子分解(HRAD)联合使用来估计形成线性混合物的信号的方法。 HRAD克服了常规原子分解的分辨率限制,并被用作EM的初始估计。具有HRAD的EM优于其他现有方法,例如单个HRAD,常规AD和常规AD加EM。比较中将Cramer-Rao界限用作基准,并显示了建议的方法在高信噪比下的效率。信号被建模为线性调频。

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