Adaptive Multi-Trace Carving Based on Dynamic Programming
Adaptive Multi-Trace Carving Based on Dynamic Programming
复制标题
基于动态规划的自适应多轨迹雕刻
DOI：
10.1109/acssc.2018.8645216
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Min Wu
中科院分区：
文献类型：
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作者：
Qiang Zhu;Mingliang Chen;Chau;Min Wu
在本文中，我们研究使用基于频谱图的方法跟踪噪声信号中的多个频率分量的问题。诸如基于图像处理或基于隐马尔可夫模型的方法之类的先前方法可能无法跟踪多个频率分量，可能需要大量训练，并且可能非常耗时。为了解决这些问题，我们提出了一种名为自适应多迹线雕刻（AMTC）的准确而有效的方法，用于通过迭代前向和后向动态规划以及自适应迹线补偿来跟踪多个频率迹线。实验结果表明，所提出的方法优于最先进的方法，特别是在低信噪比条件下。
In this paper, 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.