Based on the convergence of bounds for the entropyrate of binary hidden Markov processes, a numerical approach is advanced.
基于熵率上下界收敛性,该文提出了一个算法以计算二态隐马尔可夫过程的熵率。
2
Then the paper also builds multi-order context adaptive probability model, which enables the shortened coded character almost approach its entropyrate.
建立了基于上下文的多阶自适应的概率模型,使其符号的压缩码长尽量的接近其熵值。
3
Known from the theory of chaos, multi-fractal of stochastic process is a key characteristic of its dynamics, of which entropyrate is a special fractal dimension named information dimension.