  Novel test selectors have demonstrated their effectiveness in accelerating
the closure of functional coverage for various industrial digital designs in
simulation-based verification. The primary advantages of these test selectors
include performance that is not impacted by coverage holes, straightforward
implementation, and relatively low computational expense. However, the
detection of stimuli with novel temporal patterns remains largely unexplored.
This paper introduces two novel test selectors designed to identify such
stimuli. The experiments reveal that both test selectors can accelerate the
functional coverage for a commercial bus bridge, compared to random test
selection. Specifically, one selector achieves a 26.9\% reduction in the number
of simulated tests required to reach 98.5\% coverage, outperforming the savings
achieved by two previously published test selectors by factors of 13 and 2.68,
respectively.
