Detection of periodic signals in noise: an iterative procedure

H.J Heinze, H Künkel, W Massing
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引用次数: 3

Abstract

A method for detection and estimation of periodic signals in the presence of noise is described. The algorithm is an iterative improvement of the autoregressive-moving average estimation of a stochastic process and gives an exact frequency resolution of sinusoidal signals additively mixed with noise in a low signal-to-noise ratio only from a small number of measurements. The iterative improvement of the spectral estimation compared with other methods is demonstrated by examples.

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噪声中周期信号的检测:一个迭代过程
描述了一种检测和估计存在噪声的周期信号的方法。该算法是对随机过程的自回归移动平均估计的迭代改进,仅从少量测量中就能在低信噪比下给出与噪声混合的正弦信号的精确频率分辨率。通过算例说明了谱估计与其他方法相比的迭代改进。
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