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MUSIC and Ramanujan: MUSIC-like algorithms for integer periods using nested-periodic-subspaces

机译:MUSIC和Ramanujan:类似MUSIC的算法,用于使用嵌套周期子空间的整数周期

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Can the MUSIC algorithm be used for period estimation? Prior works in this direction were based on modifying the search over the conventional complex-exponentials based pseudospectrum to look for harmonically spaced peaks. For applications where the period of the discrete signal can be well approximated by integers, this paper proposes much simpler integer valued basis functions. It is shown that this new re-formulation of MUSIC not only makes the pseudo-spectrum computation much simpler, but also offers significantly higher accuracy than the conventional techniques, especially for mixtures of periodic signals1.
机译:MUSIC算法可以用于周期估计吗?在此方向上的先前工作是基于对基于常规复指数的伪谱的搜索进行修改以寻找谐波间隔的峰。对于离散信号的周期可以很好地近似为整数的应用,本文提出了更简单的整数基函数。结果表明,这种新的MUSIC重构不仅使伪频谱计算变得更加简单,而且比传统技术提供了更高的精度,尤其是对于周期信号 1 的混合而言。

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