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This paper presents an approach to multiple-model hypothesis testing (MMHT) based on 2-SPRT (2-MMSRPT) for detecting unknown events that may have multiple possible distributions. The sequential probability ratio test (SPRT) based MMHT method (MMSPRT) is promising because of its efficiency and theoretical validity. However, it may suffer from SPRT’s lack of an upper bound on its stopping time, especially...
This paper presents a multiple-model hypothesis testing (MMHT) approach using a representative model (RM) for detecting unknown events that may have multiple distributions. It addresses various difficulties of MMHT for composite, multivariate, nondisjoint, and mis-specified hypothesis sets with correlated observations, and decides which region of the mode space covered by the model set is better....
Double sequential probability ratio test (2-SPRT), as an extended version of SPRT to cope with the no-upper-bound problem, is extended to the multiple-model hypothesis testing (MMHT) approach, called 2-MMSPRT, for detecting unknown events that may have multiple prior distributions. Not only does it address the mis-specified problem of the SPRT based MMHT method (MMSPRT), but it also can be expected...
NBTI is a major SRAM aging mechanism, leading to reduced read and hold static noise margins, and increased soft error rate. The existing techniques including guardbanding, on-chip sensor-based detection, and recovery. In this paper, we propose a group of testing, diagnosis, and repair methods for NBTI-induced memory faults. We observe that NBTI leads to SRAM read errors rather than write errors. We...
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