ROBUST DETECTION OF NONSTATIONARY RANDOM SIGNALS BELONGING TO P-POINT UNCERTAINTY CLASSES

机译：鲁棒检测属于p点不确定性类的非持久性随机信号

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We present two robust detectors for nonstationary random signals that belong to p-point uncertainty classes, one being based on an estimator-correlator approach, the other using the deflection criterion. Apart of stable performance, these robust detectors have the advantage of requiring only reduced prior knowledge. Using local cosine bases, we provide an intuitive and highly efficient time-frequency implementation of these robust detectors along with an extension that permits signal-adaptive operation. Simulation results illustrate the robustness of the proposed detectors.

机译：我们为属于P点不确定性类的非间断随机信号提供两个强大的探测器，一个基于估计 - 相关器方法，另一个使用偏转标准。除稳定的性能外，这些鲁棒探测器的优点是仅需要降低的先验知识。使用本地余弦基础，我们提供了这些强大的探测器的直观和高效的时频实现以及允许信号自适应操作的扩展。仿真结果说明了所提出的探测器的鲁棒性。

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《IEEE International Conference on Acoustics, Speech, and Signal Processing》|2003年||共4页
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4. ROBUST DETECTION OF NONSTATIONARY RANDOM SIGNALS BELONGING TO P-POINT UNCERTAINTY CLASSES [C] . IEEE IEEE International Conference on Acoustics, Speech, and Signal Processing . 2003

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5. Analysis and reconstruction of nonstationary random vibration signals using wavelet transformations. [D] . Hale, Michael Tad. 1998

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8. Robust Detection, Discrimination, and Remediation of UXO: Statistical Signal Processing Approaches to Address Uncertainties Encountered in Field Test Scenarios SERDP Project MR-1663 [R] . Collins, L. M. 2012

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ROBUST DETECTION OF NONSTATIONARY RANDOM SIGNALS BELONGING TO P-POINT UNCERTAINTY CLASSES

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