This table reveals that for different rates of GLDPC-Staircase code, scheme A outperforms scheme B under (IT + RS) decoding and both have the same behavior under ML decoding.
With scheme B, they consist of x plus p m−1 (if m>1) and p m. 3 We note that hybrid (IT/RS/ML) decoding and ML decoding have the same correction capabilities but they are different at decoding complexity level.
Therefore, for all configurations of GLDPC-Staircase codes, the structure of scheme A resists to the channel loss more than scheme B under (IT + RS) and both have the same behavior under ML decoding with dense system.
Since both users j ∗ and j † can potentially increase the decoding delay at the nth transmission, they have the same value of the cumulative decoding delay (phantom {dot {i}!}D_{j^ n-1)= D_{j^{dagger }D_{j^ n-1
All these standard decoding processes have the same mathematical description under different theoretical assumptions.
HIV-1 and HIV-2 have the same five best tRNA targets for TRIT decoding codons AGA, AUA, GUA, CUA, and UUA.
The decoding algorithm considers each block as a unit, summing probabilities of all alignments that have the same block structure.
From the definitions above, the soft feature P C soft and the hard features, P C hard, (PC_{textit {hard}}^{oracle}), and (PC_{textit {hard}}^{decode}) all have the same number of dimensions, which is the number of different states in the monophone GMM-HMM.
Tables 1 and 2 show that the number of decoding iterations guaranteeing the same decoding performance has to be increased when shuffled decoding is used.
Clearly, the phase-shifted version of the code has the same error correcting capability, rate, decoding complexity as the original code.
