基于多层核主成分提取估计器需要将调制信号的训练样本根据各自的频率进行分层。
The estimator based on kernel principal component extraction requires to stratify the training samples of interested signals with respect to their respective frequencies.
实验结果表明，这种检测器对于从强混合噪声中提取弱视频信号是非常有效的。
The experimental results show that the detector is very effective on extracting weak video signal from strong mixture noise.
提出了应用差动放大理论和灵敏度不同的传感器来完成强噪声环境下微弱声信号提取的方法。
A method of sound detection under strong noise conditions is advanced applying the theory of differential amplifier and utilizing transducers having different sensitivities.
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