We propose a way to automatically detect the best neighborhood size for a local projective noise reduction filter, where a typical problem is the proper identification of the noise level. Here we make use of concepts from the recurrence quantification analysis in order to adaptively tune the filter along the incoming time series. We define an index, to be computed via recurrence plots, whose mi...

This paper presents the application of recurrence plots (RPs) and recurrence quantification analysis (RQA) in model-based diagnostics of nonlinear systems. A detailed nonlinear mathematical model of a servo electro-hydraulic system has been used to demonstrate the procedure. Two faults have been considered associated with the servo valve including the increased friction between spool and sleeve...

Abstract Electroencephalography (EEG) allows recording of cortical activity at high temporal resolution. Creating features useful for the analysis EEG can be challenging. Here we introduce a new method pre-processing time-series resting state and binary task classification using recurrence quantification (RQA) compare it with existing state-of-the-art approach based on signal embedding. To reve...