Signal processing approaches on otoacoustic emissions

The recent achievements in the measurement of otoacoustic emissions (OAEs) is based on novel technical developments in digital signal processing. This paper will demonstrate our approaches in hunting signals from noise and in extracting information from the signals. A time-frequency method for analysis of transient evoked OAEs via the smoothed pseudo Wigner distribution, some signal processing methods for spectral estimation of spontaneous OAEs and a method for estimation of active cochlear nonlinearity by multi-component distortion-product OAEs will be presented. Possible applications will be discussed.