Wavelet analysis of real ear and synthesized click evoked otoacoustic emissions
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Cited by (77)
Time-frequency decomposition of click evoked otoacoustic emissions in children
2016, Hearing ResearchCitation Excerpt :The overall goal of this study was to characterize the time–frequency distribution of CEOAEs in children. The specific aims were (1) to demonstrate the feasibility of the ST for analyzing CEOAEs, by comparing the ST and the WT (Tognola et al., 1998, 1997; Wit et al., 1994), and (2) to apply the ST to probe the time–frequency distribution of CEOAEs, including level and latency characteristics, in 5–10 year old children. This study consisted of two parts.
Wavelet analysis demonstrates no abnormality in contralateral suppression of otoacoustic emissions in tinnitus patients
2012, Hearing ResearchCitation Excerpt :Wavelets were chosen for this supplementary analysis of OAEs. Wavelet analysis yields both time and frequency information present in a transiently-evoked OAE signal (Wit et al., 1994; Tognola et al., 1997; Tognola et al., 1998). The result of wavelet analysis is a representation of the OAE-signal amplitude in the time-frequency plane, conserving both time information as well as frequency information.
Detection improvement for neonatal click evoked otoacoustic emissions by time-frequency filtering
2011, Computers in Biology and MedicineCitation Excerpt :Therefore, the above concerns lead to the need to consider alternative signal processing methods to overcome the effects of noise on recording CEOAE responses. As CEOAEs are time-varying signals with frequency dispersion along time, several time–frequency analysis (TFA) techniques, such as short-time Fourier transform (STFT) [22–24], Wigner–Ville distribution (WVD) [25,26], matching pursuit (MP) [27,28] and wavelet transform (WT) [29–34], have been proposed to represent the characteristics of a CEOAE signal in the joint t–f domain. Among these TFA methods, WT technique was demonstrated to have better t–f resolution for CEOAE signal analysis than the STFT and other algorithms [31,35–37].
Acoustic stimulation of human medial olivocochlear efferents reduces stimulus-frequency and click-evoked otoacoustic emission delays: Implications for cochlear filter bandwidths
2010, Hearing ResearchCitation Excerpt :Since our STFT implementation allowed better control of which frequencies contributed to a latency measurement, we report the STFT results here. For the WT, the mother wavelet was a windowed cosine as in previous papers (e.g. Wit et al., 1994; Tognola et al., 1997, 1998; Sisto et al., 2007). Dilated versions of the mother wavelet, the daughter wavelets were obtained through downsampling in a dyadic scheme.