针对呼吸、心动信号频谱有重叠的特征，采用自适应lms算法对信号进行相关噪声抵消处理，从而获取较为理想的心动信号。
According to the overlap of the respiration and heartbeat frequency spectra, an adaptive LMS algorithm has been adopted to reduce the correlative noise and to form a more ideal heartbeat waveform.
传统语音信号谱特征的提取是基于FFT 的能谱分析方法，在噪音环境情况下，对噪音的频谱成分与语音信号的频谱成分的处理采用“平均主义”的原则。
Traditional speech signal processing is based on FFT power spectral analysis, in noisy condition, the spectrum of noise and speech signal are processed in the same way.
传统语音信号谱特征的提取是基于FFT 的能谱分析方法，在噪音环境情况下，对噪音的频谱成分与语音信号的频谱成分的处理采用“平均主义”的原则。
Traditional speech signal processing is based on FFT power spectral analysis, in noisy condition, the spectrum of noise and speech signal are processed in the same way.
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