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Method and system for signal processing using a sparse approximation of the S-transform

机译:使用s变换的稀疏近似进行信号处理的方法和系统

摘要

The present invention relates to a method and system for processing time series signal data or image signal data indicative of a characteristic of an object. Received signal data are transformed into second signal data within a Stockwell domain based upon a sparse approximation of a S-transform of the signal data. The second signal data are then processed within the Stockwell domain to extract features therefrom. The processing includes determination of local spectra at predetermined locations; determination of voices at predetermined frequencies; and filtering of the signal data using a filter function in dependence upon frequency and time or space. The signal processing method and system according to the invention enables signal processing based on the S-transform using a desktop computer or workstation.
机译:本发明涉及一种用于处理指示物体特征的时间序列信号数据或图像信号数据的方法和系统。基于信号数据的S变换的稀疏近似,在斯托克韦尔域内将接收到的信号数据转换为第二信号数据。然后在斯托克韦尔域内处理第二信号数据以从中提取特征。该处理包括确定预定位置处的局部光谱。确定预定频率的声音;根据频率,时间或空间,使用滤波函数对信号数据进行滤波。根据本发明的信号处理方法和系统使得能够使用台式计算机或工作站基于S变换来进行信号处理。

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