In this paper an algorithmic approach to the wow defect characteristic evaluation is presented. The approach is based on a sinusoidal analysis comprising both amplitude and phase spectra processing. The frequency trajectories depicting the distortion are built on a basis of amplitude, frequency and phase dependencies and are further used for wow characteristic evaluation. Additionally the experiments concerning the neural-network-based prediction applied to the characteristic are performed. The obtained results are compared to linear-prediction.
https://www.aes.org/e-lib/browse.cfm?elib=13573
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is free for AES members and E-Library subscribers.
Learn more about the AES E-Library
Start a discussion about this paper!