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

机译:音乐和ramanujan:使用嵌套周期性 - 子空间的整数周期的音乐等算法

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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:音乐算法是否可以用于期间估计?在此方向上的先验作品是基于修改基于传统的基于复杂指数的伪谱来寻找和谐峰值的搜索。对于离散信号的时段可以通过整数近似的应用程序,本文提出了更简单的整数值基础函数。结果表明,这种新的音乐重新制定不仅使伪频谱计算更加简单,而且还提供比传统技术更高的精度,特别是对于周期性信号的混合物 1

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