Two Dimensional Processing Of Speech And Ecg Signals Using The Wigner-Ville Distribution

Boualem Boashash; Saman S. Abeysekera

doi:10.1117/12.976214

10 December 1986 Two Dimensional Processing Of Speech And Ecg Signals Using The Wigner-Ville Distribution

Boualem Boashash, Saman S. Abeysekera

Proceedings Volume 0697, Applications of Digital Image Processing IX; (1986) https://doi.org/10.1117/12.976214
Event: 30th Annual Technical Symposium, 1986, San Diego, United States

Abstract

The Wigner-Ville Distribution (WVD) has been shown to be a valuable tool for the analysis of non-stationary signals such as speech and Electrocardiogram (ECG) data. The one-dimensional real data are first transformed into a complex analytic signal using the Hilbert Transform and then a 2-dimensional image is formed using the Wigner-Ville Transform. For speech signals, a contour plot is determined and used as a basic feature. for a pattern recognition algorithm. This method is compared with the classical Short Time Fourier Transform (STFT) and is shown, to be able to recognize isolated words better in a noisy environment. The same method together with the concept of instantaneous frequency of the signal is applied to the analysis of ECG signals. This technique allows one to classify diseased heart-beat signals. Examples are shown.

Citation Download Citation

Boualem Boashash and Saman S. Abeysekera "Two Dimensional Processing Of Speech And Ecg Signals Using The Wigner-Ville Distribution", Proc. SPIE 0697, Applications of Digital Image Processing IX, (10 December 1986); https://doi.org/10.1117/12.976214

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