Thus, we designed a scheduling method, which can be applied into multi-scheduler system, denoted by MTDR Multi Task Dynamic-Rankk scheduling method).
A k-cycle system of order n whose cycle set can be partitioned into (n−1)/2 almost parallel classes and a half-parallel class is called an almost resolvable k-cycle system, denoted by k-ARCS(n).
For throughput, we consider the average throughput of the system, denoted by (bar {T}).
The second back-end system, denoted by LDA+MLLT+SAT, supplements the LDA+MLLT system with utterance-based speaker adaptive training (SAT).
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The output of the system, denoted by (widehat {mathbf {s}}), is given by begin{array}rcl@ mathbf{widehat{s}}=mathbf{WH}_{2}mathbf{Q}mathbf{H}_{1}mathbf{s}+mathbf{Wn}, end{array} (1).
An information system, denoted by g, specifies for each state of nature, p, a conditional probability function over the set of signals: g(s|p).
The fourth back-end system, denoted by LDA+MLLT+SA+bMMI+MBR, is based on the LDA+MLLT system and supplements it with utterance-based fMLLR speaker adaptation, boosted MMI (bMMI), and minimum Bayes risk (MBR) decoding [33].
Given the steady-state solution (x ⋆,α ⋆), the aggregate TCP throughput of the system denoted by T is given by the following identity: T= 1-PER(x^{sT= 1-PERha^{star}))kappa(x^{star},alpha^{star}).
The crosstalk canceller taps, as specified by c k n, m, ∀ m ≠ n, are constrained to a crosstalk canceller tap budget for all users in the system, denoted by Ctotal.
