where k is the subchannel index and (j), (i,j), (r,i,j) are, respectively, the states for L = 1,2,3, i.e., all the binary sequence in {0,1} L. The probability of being in the state i ∈ {0,1} at time m over the k th subchannel is denoted with Π i ( k, m ) = Pr ( S k, m = i ).
On the other hand, for periodic sequences, the lowest periodic ACF that could be achieved for binary sequences, as in the case of -sequences [12, 13] or Legendre sequences, is.
In this case, the CSSBN degenerates into a deterministic BN, for which an analytical approach is more efficient, due to the use of random binary bit sequences in the stochastic approach.
To do so, we constructed binary sequences from the synthetic target variables, such that each position in the binary sequence corresponded to a target variable.
For infinite binary sequences, the Martin-Löf definition in terms of effective tests is a robust and mathematically attractive notion.
In order to resolve the disagreement between datasets, we used binary sequences to reconstruct the nucleosome position datasets.
In brief, the binary sequences with respect to the quantization tables from the file header are encrypted according to formula (1).
The detailed procedure for calculating the entropy of the coarse-grained binary sequences can be found in the caption of Figure 1.
Are the observed binary tracts "simple" sequences in the usual sense, i.e. are the observed tracts composed of one or few nucleotides repeated many times, like oligo (C-T)?
