用连续小波变换检测和估计乘性跳变

M. Chabert, J. Tourneret, F. Castanie
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引用次数: 0

摘要

本文研究了时间尺度平面上的乘性跳跃检测和估计问题。该特征是为时间尺度平面上的乘法跳跃而导出的。该特征允许研究两个基于小波的检测器。第一个检测器计算连续小波变换(CWT)与二维特征的相关性。第二个检测器对CWT的固定尺度切片求和。为了比较,我们推导出了最优的内曼-皮尔逊检测器(NPD)。NPD需要先验的跳变和信号参数知识。提出了一种次优检测器,用适当的估计代替这些参数。对该探测器的性能进行了研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection and estimation of multiplicative jumps using the continuous wavelet transform
This paper addresses the problem of multiplicative jump detection and estimation in the time-scale plane. The signature is derived for a multiplicative jump in the time-scale plane. The signature allows the study of two wavelet based detectors. The first detector computes the continuous wavelet transform (CWT) correlation with 2D signature. The second detector sums fixed scale slices of the CWT. For comparison purpose, the optimal Neyman-Pearson detector (NPD) is then derived. The NPD requires a priori knowledge of the jump and signal parameters. A sub-optimal detector is presented which replaces these parameters by appropriate estimates. The performance of this detector is studied.
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