基于时频分析和BCM理论的特征提取分类

Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96) Pub Date : 1996-06-18 DOI:10.1109/TFSA.1996.547456

Q. Huynh

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引用次数: 1

摘要

利用小波时间/频率分解和BCM神经元特征提取的新应用，演示了海洋哺乳动物声音分类。该系统即使在测试在不同地点(从训练)录制的哺乳动物声音时也取得了出色的分类性能。

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Classification using feature extraction based on time-frequency analysis and BCM theory

Marine mammal sounds classification is demonstrated using a novel application of wavelet time/frequency decomposition, and feature extraction using the BCM neuron. The system achieves outstanding classification performance even when tested with mammal sounds recorded at very different locations (from training).

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来源期刊

Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96)

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