生物雷达数据分析的经验模态分解算法

2015 IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems (COMCAS) Pub Date : 2015-12-21 DOI:10.1109/COMCAS.2015.7360429

L. Anishchenko

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引用次数: 3

摘要

在本工作中，我们讨论了经验模式分解算法在生物雷达数据处理中的应用。考虑了数据处理的算法，并根据实验数据处理结果选择了阈值准则的取值。实验结果表明，生物雷达原始数据的预处理补偿了呼吸和心跳信号的幅值差异，提高了经验模态分解算法在生物雷达数据处理中的有效性。

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Empirical mode decomposition algorithm for bioradar data analysis

In present work we discuss the usage of empirical mode decomposition algorithm for bioradar data processing. The algorithm of data processing is considered and the value of the threshold criteria is chosen according to the results of the experimental data processing. It is shown that preprocessing of raw bioradar data, which compensate the difference in amplitude of breathing and heartbeat signals, increases the effectiveness of empirical mode decomposition algorithm in bioradar data processing.

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2015 IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems (COMCAS)

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