Spectrogram segmentation by means of statistical features for non-stationary signal interpretation

Abstract

Time–frequency representations (TFRs) are suitable tools for nonstationary signal analysis, but their reading is not straightforward for a signal interpretation task. This paper investigates the use of TFR statistical properties for classification or recognition purposes, focusing on a particular TFR: the Spectrogram. From the properties of a stationary… (More)
DOI: 10.1109/TSP.2002.805489

Cite this paper

@article{Hory2002SpectrogramSB, title={Spectrogram segmentation by means of statistical features for non-stationary signal interpretation}, author={Cyril Hory and Nadine Martin and Alain Ch{\'e}hikian}, journal={IEEE Trans. Signal Processing}, year={2002}, volume={50}, pages={2915-2925} }