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The expected loss profiles show a pattern that first increases and then decreases due to the time-variation of the Markov chain state probabilities.
end{aligned}If the proposal is accepted, the Markov chain state will be updated by (x'), i.e., ({x_{k + 1}} = x'); otherwise it remains at ({x_k}), i.e., ({x_{k + 1}} = {x_k}).
The second synthesis stage takes the generated state sequence as an input and searches for the most likely sequence of motion segments from the original training data that could have generated that Markov chain state sequence.
In this paper, we first analyze the existing secure scan designs from the angle that whether they need a complete chain state or rely on any specific scan chain order.
Furthermore, the PHY layer Markov chain state at time instant t = ν T f is denoted by ς ν u = φ ν u, Δ ν u, ν = 0,1,…,∞, where φ ν u ∈ { 0, …, N PHY u − 1 } represents the combination of TM and channel state in this frame interval and Δ ν u ∈ { 0, 1 } is used to denote the up or downb characteristic of the instantaneous SNR over the time frame interval t = (ν − 1)T f.
By reporting them up the chain, state and federal officials are able to see whether outbreaks are localized or widespread.
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She mentioned a powerful management team, world-class supply chain, state-of-the-art technology and brand momentum.
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A Markov chain state-space representation is proposed to calculate EENS in system adequacy evaluations.
To calculate the overall gas and electricity network adequacy, a modified EENS calculation method is adopted based on a Markov chain state-space representation [27].
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