A comparative evaluation of techniques for single-frame discrimination of nonstationary sinusoids

Authors:
Jeremy J. Wells;Damian T. Murphy
Affiliations:
Audio Lab, Intelligent Systems Group, Department of Electronics, University of York, Heslington, York, UK;Audio Lab, Intelligent Systems Group, Department of Electronics, University of York, Heslington, York, UK
Venue:
IEEE Transactions on Audio, Speech, and Language Processing
Year:
2010

Citing 3
Cited 0

Discrete-time signal processing (2nd ed.)

Discrete-time signal processing (2nd ed.)
Improving the readability of time-frequency and time-scalerepresentations by the reassignment method

IEEE Transactions on Signal Processing
Estimation of Frequency for AM/FM Models Using the Phase Vocoder Framework

IEEE Transactions on Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Many spectral analysis and modification techniques require the separation of sinusoidal from nonsinusoidal signal components of a Fourier spectrum. Techniques exist for the estimation of the parameters of nonstationary sinusoids, and for discriminating these from other components, within a single Fourier frame. We present a comparative study of five methods for sinusoidal discrimination, considering their effectiveness and their computational cost.