Godsill, SJ and Rayner, PJW (1993) Frequency-based interpolation of sampled signals with applications in audio restoration. Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing, 1. ISSN 0736-7791Full text not available from this repository.
A new interpolation technique has been developed for replacing missing samples in a sampled waveform drawn from a stationary stochastic process, given the power spectrum for the process. The method works with a finite block of data and is based on the assumption that components of the block DFT are Gaussian zero-mean independent random variables with variance proportional to the power spectrum at each frequency value. These assumptions make the interpolator particularly suitable for signals with a sharply-defined harmonic structure, such as audio waveforms recorded from music or voiced speech. Some results are presented and comparisons are made with existing techniques.
|Divisions:||Div F > Signal Processing and Communications|
|Depositing User:||Cron Job|
|Date Deposited:||09 Dec 2016 17:37|
|Last Modified:||23 Feb 2017 05:25|