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A Dual-Microphone Adaptive Filtering Algorithm for Collecting Body Sound Signals and Application Thereof

机译:用于收集机身声音信号的双麦克风自适应滤波算法及其应用

摘要

The present invention discloses a dual-microphone adaptive filtering algorithm for collecting body sound signals, characterized in that, using at least two microphones, a primary microphone and a secondary microphone, to collect signals; the primary microphone is used to collect noisy body sound signals, and the secondary microphone is used to collect environmental noise; applying a same high-pass filtering to signals collected by the primary microphone and signals collected by the secondary microphone; using a normalized least mean square algorithm on the primary microphone signals and the secondary microphone signals after the high-pass filtering to calculate a weight of the adaptive filter and to calculate an error signal to filter out environmental noise in the primary microphone signals; processing the error signal for a first time by a low-pass filtering to restore the body sound signals, to obtain the body sound signals output by the adaptive filtering algorithm. This algorithm not only may achieve rapid convergence of filter weights, but also avoid signal distortion, and suppress environmental noise interference quickly and reliably.
机译:本发明公开了一种用于收集机身声音信号的双麦克风自适应滤波算法,其特征在于,使用至少两个麦克风,主麦克风和辅助麦克风来收集信号;主要麦克风用于收集嘈杂的身体声音信号,并且使用次级麦克风来收集环境噪声;将相同的高通滤波应用于由初级麦克风收集的信号和由次级麦克风收集的信号;在初级麦克风信号和高通滤波后使用归一化最小均方算法和高通滤波后的辅助麦克风信号,以计算自适应滤波器的权重,并计算误差信号以在主麦克风信号中过滤输出环境噪声;通过低通滤波处理误差信号,以恢复主体声音信号,以获得由自适应滤波算法输出的身体声音信号。该算法不仅可以实现滤波器权重的快速收敛,而且避免了信号失真,并快速可靠地抑制环境噪声干扰。

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