【摘要】 提出了对称补偿降噪以及利用希尔伯特变换方法进行降噪和特征信号提取。将噪声信号按对称条件分解 ,然后利用对称点的信号统计特性相同的特点进行补偿降噪 ,从而提高了信噪比和系统实时响应能力 ,克服了监测的非即时性和气流噪声非零均值分布及波动信号对信号提取的干扰更多还原

【Abstract】 An improved monitoring method is proposed. "Reducing noise with symmetry decomposition" is used to reduce noise and Hilbert transformation is used to extract characteristic signals. In this method, the noise signal is decomposed in symmetry conditions and the noise with decomposition is reduced by means of the similar features of the statistic parameters of the sound field in symmetry positions. This method improves the signal ton oise ratio and response ability, overcomes the influence caused by load waving and nonzero distribution on the data processing.更多还原