The Journal of the Acoustical Society of America · 2018 · 19 citations · 50 references
Health ProfessionsNeuroscienceOtolaryngologyAcousticsAuditory ElectrophysiologyHearing ScienceAcoustic Signal ProcessingAuditory NeurophysiologyAuditory PhysiologyOtoacoustic EmissionsSignal ProcessingTime-frequency AnalysisAmplitude Envelope AnalysisCochlear Signal AnalysisInstantaneous Frequency EstimationNonlinear Time-series AnalysisNonstationary Signal AnalysisOscillatory PatternsSpontaneous Otoacoustic EmissionsTime-frequency Analysis Of Nonstationary Signals
The linear part of transient evoked otoacoustic emission (TEOAE) is thought to be generated via coherent reflection near the characteristic place of constituent wave components. Because of the tonotopic organization of the cochlea, high frequency emissions return earlier than low frequencies; however, due to the random nature of coherent reflection, the instantaneous frequency (IF) and amplitude envelope of TEOAEs both fluctuate. Multiple reflection components and synchronized spontaneous emissions can further make it difficult to extract the IF by linear transforms. This paper proposes to model TEOAEs as a sum of intrinsic mode-type functions and analyze it by a nonlinear-type time-frequency (T-F) analysis technique called concentration of frequency and time (ConceFT). When tested with synthetic otoacoustic emission signals with possibly multiple oscillatory components, the present method is able to produce clearly visualized traces of individual components on the T-F plane. Further, when the signal is noisy, the proposed method is compared with existing linear and bilinear methods in its accuracy for estimating the fluctuating IF. Results suggest that ConceFT outperforms the best of these methods in terms of optimal transport distance, reducing the error by 10% to 21% when the signal to noise ratio is 10 dB or below.
50
Norden E. Huang, Steven Long, Man‐Li C. Wu et al. · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · 1998 · 23.3K citations · Full text
Computing, Computational Engineering, Biomedical Signal Processing +16