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Online blind source separation

机译:在线盲源分离

摘要

A method for blind source separation of sources detects the sources using sensors to obtain representative data. The data is then represented by two mixtures having estimates of amplitude and delay mixing parameters. The estimates are updated, including: calculating error measures, each indicating a closeness of the estimates for a given source to a given time-frequency point in the mixtures; and revising the estimates, based on the error measures. The mixtures are filtered to obtain estimates of the sources, including: selecting one error measure having a smallest value in relation to any other error measures, for each time-frequency point in the mixtures; and leaving unaltered any time-frequency points for which a given error measure has the smallest value, while setting to zero any other time-frequency points for which the given error measure does not have the smallest value, for each error measure. The estimates of the sources are output.
机译:一种用于源的盲源分离的方法,其使用传感器来检测源以获得代表性数据。然后,由具有幅度和延迟混合参数估计值的两种混合物表示数据。估计值被更新,包括:计算误差度量,每个误差度量指示给定源到混合物中给定时间-频率点的估计的接近度;并根据误差测度修改估算值。对混合物进行滤波以获得源的估计,包括:针对混合物中的每个时频点,选择一个相对于其他误差度量而言均具有最小值的误差度量;对于每个误差度量,将给定误差度量具有最小值的任何时频点保持不变,而将给定误差度量对其没有最小值的任何其他时频点设置为零。输出来源的估算值。

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