In this note, we propose several ways to extract features for signal classification by local discriminant time-frequency atoms selected from the discrete Gabor ...
Nov 5, 2024 · Abstract: Three methods to select discriminant time-frequency atoms from the Gabor time-frequency dictionary are proposed.
Local discriminant time-frequency atoms for signal classification · Qingtang Jiang, Say Song Goh, Zhiping Lin · Published in Signal Processing 1999 · Computer ...
Local discriminant time-frequency atoms for signal classification.
Local discriminant time-frequency atoms for signal classification ...
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Title: Local discriminant time-frequency atoms for signal classification. Authors: Jiang, Q. Goh, S.S. · Lin, Z. Keywords: Fisher's class separability
The proposed approach allows such interpretation, since the features are determined in the form of time-frequency atoms, similarly to classic analyses of EEG.
The authors previously developed the so-called local discriminant basis (LDB) method for signal and image classification problems.
The proposed algorithm generalizes the best discriminant basis algorithm by Saito, employing pairwise comparisons between the signals belonging to two classes ...
Here, the basis functions which are well-localized in the time-frequency plane are used as feature extractors. We applied our method to two signal ...
An algorithm which uses time-frequency dictionaries and adaptively selects a small number of discriminant time- Frequency atoms is presented, ...