利用马尔瓦小波进行瞬态检测

Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96) Pub Date : 1996-06-18 DOI:10.1109/TFSA.1996.547455

P. Ravier, P. Amblard

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引用次数: 9

摘要

本文研究了在极低信噪比环境下瞬态声信号的检测。该算法采用自适应马尔瓦尔小波变换。根据测试片段的高斯性质的标准，它会导致信号的“最优”分割。基于峰度的统计量从这个分割中计算出来。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Using Malvar wavelets for transient detection

This paper is devoted to the detection of transient acoustic signals in very low signal-to-noise ratio contexts. The proposed algorithm uses the adaptive Malvar wavelet transform. It leads to a partition of the signal which is "optimal" according to a criteria that tests the Gaussian nature of the segments. A statistic based on the kurtosis is computed from this segmentation.

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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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