Frequency-based interpolation of sampled signals with applications in audio restoration

Authors:
S. J. Godsill;P. J. W. Rayner
Affiliations:
Cambridge University, Engineering Dept., Cambridge, UK;Cambridge University, Engineering Dept., Cambridge, UK
Venue:
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: plenary, special, audio, underwater acoustics, VLSI, neural networks - Volume I
Year:
1993

Citing 2
Cited 0

Restoration of lost samples in digital signals

Restoration of lost samples in digital signals
Discrete Random Signals and Statistical Signal Processing

Discrete Random Signals and Statistical Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.