Set-membership identification of resampled signals
Set-membership identification of resampled signals
复制标题
重采样信号的集合成员身份识别
DOI：
10.1109/wifs.2013.6707810
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
F. Pérez
中科院分区：
文献类型：
--
作者：
David Vázquez;Pedro Comesaña Alfaro;F. Pérez
作为篡改检测手段的重采样因子估计问题已得到广泛研究。大多数现有技术依赖于对重采样信号中引起的循环相关性的分析。然而，本文通过集合成员估计理论解决同样的问题，探索了一个新的方向。所提出的技术使用可用的先验知识并与来自所研究的重采样信号的有限数量的观察结果相一致，构建了问题的模型。利用该信息，所提出的技术能够提供应用于原始信号的重采样因子的估计，并且如果需要，还能够提供该信号的估计和插值滤波器的估计。评估了所提出方法的准确性和 MSE 方面的性能，并报告了与最先进方法的比较结果。
The problem of resampling factor estimation as a means for tampering detection has been largely investigated. Most of the existing techniques rely on the analysis of cyclic correlations induced in the resampled signal. However, in this paper, a new direction is explored by addressing the same problem in terms of the set-membership estimation theory. The proposed technique constructs a model of the problem using available a priori knowledge and in consonance with a finite number of observations that comes from the resampled signal under study. With this information, the proposed technique is able to provide an estimate of the resampling factor applied to the original signal and, if required, an estimate of such signal and an estimate of the interpolation filter. The performance in terms of accuracy and MSE of the proposed approach is evaluated and comparative results with state-of-the-art methods are reported.