Investigating cellular vibrations in the cochlea using the continuous wavelet transform and the short-time Fourier transform
Malvin Carl Teich, Conor Heneghan, Shyam M. Khanna, Mats Ulfendahl
Abstract
Malvin Carl Teich, Conor Heneghan, Shyam M. Khanna, Mats Ulfendahl
Abstract
The Continuous Wavelet Transform (CWT) and the Short-Time Fourier Transform (STFT) are used to analyze the time course of cellular motion in the guinea-pig inner ear. The velocity responses of individual auditory cells (outer hair cells and Hensen's cells) to amplitude-modulated (AM) acoustical signals display characteristics typical of nonlinear systems. such as harmonic generation. Nonlinear effects are particularly pronounced at the highest stimulus levels, where half-harmonic, and sometimes quarter-harmonic, components are also seen. Both the CWT and the STFT are found to be useful in analyzing these velocity responses.>
OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The Continuous Wavelet Transform (CWT) and the Short-Time Fourier Transform (STFT) are used to analyze the time course of cellular motion in the guinea-pig inner ear. The velocity responses of individual auditory cells (outer hair cells and Hensen's cells) to amplitude-modulated (AM) acoustical signals display characteristics typical of nonlinear systems. such as harmonic generation. Nonlinear effects are particularly pronounced at the highest stimulus levels, where half-harmonic, and sometimes quarter-harmonic, components are also seen. Both the CWT and the STFT are found to be useful in analyzing these velocity responses.>
Key concepts: Short-time Fourier transform, Fourier transform, Harmonic wavelet transform, Constant Q transform, Acoustics, Speech recognition, Continuous wavelet transform, Wavelet transform