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自适应最小均方法在信号检测中的削弱噪声处理

Application of Noise Weakening with Adaptive Least Mean Square Algorithm in Signals Detecting
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摘要 利用非接触检测系统可检测到生命参数信号(呼吸、心动等信号)。针对呼吸、心动信号频谱有重叠的特征,采用自适应最小均方法对信号进行相关噪声削弱处理,从而获取较为理想的心动信号,实验研究分析及实测结果表明该算法简易、实用。 Life-parameter signals such as respiration and heartbeat could be obtained through radar non- contact detecting system. According to the overlap of the respiration and heartbeat frequency spectra, an adaptive least mean square algorithm was adopted which reduced the correlative noise and a more ideal heartbeat waveform formed. Through actual experiments and the results, the algorithm proves itself to be simple and practical.
出处 《中国医疗设备》 2011年第7期38-39,33,共3页 China Medical Devices
关键词 生物学信号检测 自适应最小均方法 自适应处理 噪声削弱 radar non-contact detecting system least mean square algorithm adaptive noise weakening
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