Abstract
The paper presents a method of signal analysis which is based on the parameter space consideration. The parameter space is created during the short-time analysis of the signal. The general schema of the approach consists of using a time window sliding in time along a signal. After choosing some particular parameters one observes their changes in a sliding window and analyzes the data in a multidimensional parameter space. For recognition and detection of different system states we propose to perform the clustering in the parameter space. The presented approach was used for analysis of EEG signals and some vibroacoustic signals taken form the combustion engine.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
