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Adaptive Multi-Trace Carving Based on Dynamic Programming

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Citation Author(s):
Qiang Zhu, Mingliang Chen, Chau-Wai Wong, Min Wu
Submitted by:
Qiang ZHU
Last updated:
21 April 2021 - 7:41pm
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In this work, we study the problem of tracking multiple frequency components in a noisy signal using a spectrogram-based method. Previous approaches such as image processing based or hidden Markov model-based methods may not be capable of tracking multiple frequency components, may require extensive training, and may be time-consuming. To address these issues, we propose an accurate and efficient method named Adaptive Multi-Trace Carving (AMTC) for tracking multiple frequency traces by iterative forward and backward dynamic programming and adaptive trace compensation. Experimental results reveal that the proposed method outperforms the state-of-the-art methods, especially under low SNR conditions.

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Dataset Files

[PDF] AMTC Asilomar 2018 poster