Time-frequency-based classification

Berkant Tacer; Patrick J. Loughlin

doi:10.1117/12.255432

22 October 1996 Time-frequency-based classification

Berkant Tacer, Patrick J. Loughlin

Proceedings Volume 2846, Advanced Signal Processing Algorithms, Architectures, and Implementations VI; (1996) https://doi.org/10.1117/12.255432
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

We propose a time-frequency based pattern classification method which utilizes the joint moments of time-frequency distributions (TFDs) for features. The method is applied to a biomedical data set, and compared to a template matching scheme and to methods utilizing only temporal moments or spectral moments. Our results show that a classification algorithm which utilizes joint time-frequency information, as quantified by the joint moments of the TFD, can potentially improve performance over time or frequency-based methods alone, for classification of nonstationary time series.

Citation Download Citation

Berkant Tacer and Patrick J. Loughlin "Time-frequency-based classification", Proc. SPIE 2846, Advanced Signal Processing Algorithms, Architectures, and Implementations VI, (22 October 1996); https://doi.org/10.1117/12.255432

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