信号分类时频表示的最优核

Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380) Pub Date : 1998-10-06 DOI:10.1109/TFSA.1998.721491

M. Davy, C. Doncarli

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引用次数: 37

摘要

使用时频表示(TFRs)之间的距离导致了非平稳信号分类问题的时频公式。我们提出了一种基于TFR优化的新方法，保留在Cohen组中。我们证明了径向高斯核和类费雪对比准则提供了改进的分类结果。

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Optimal kernels of time-frequency representations for signal classification

The use of distances between time-frequency representations (TFRs) has led to a time-frequency formulation of the problem of non-stationary signals classification. We propose a new method based upon the optimization of the TFR, remaining in the Cohen's group. We show that a radially Gaussian kernel and a Fisher-like contrast criterion provide improved classification results.

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Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)

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