Signal Processing
Multi-Pitch Estimation
An adaptive filtering approach to spectral estimation and SARimaging
IEEE Transactions on Signal Processing
Asymptotic MAP criteria for model selection
IEEE Transactions on Signal Processing
Amplitude estimation of sinusoidal signals: survey, new results,and an application
IEEE Transactions on Signal Processing
Joint High-Resolution Fundamental Frequency and Order Estimation
IEEE Transactions on Audio, Speech, and Language Processing
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In this paper, the problem of extracting periodic signals, like voiced speech or tones in music, from noisy observations or mixtures of periodic signals is considered, and, in particular, the problem of designing filters for such a task. We propose a novel filter design that 1) is specifically aimed at extracting periodic signals, 2) is optimal given the observed signal and thus signal-adaptive, and 3) offers a full parametrization of the periodic signal. The found filters can be used for a multitude of applications including signal compression, parameter estimation, enhancement, and separation. Some illustrative signal examples demonstrate its superior properties as compared to other similar filters.