Processing and Analysis of Rhinomanometric Signals by F-transform Approximation
2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP)(2016)
摘要
The paper presents a new approach for processing of rhinomanometric signals based on F-transform approximation of phase diagrams. Methods of nonlinear dynamics for processing of time series allow us to obtain a significant features of rhinomanometric signals. Research indicated that the results of classification with F-transform approximation is more accurate than results of classification with FFT approximation.
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关键词
Signal processing,Rhinomanometry,F-transform,Approximation,Classification
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