隐马尔可夫过程是一个双重随机过程：一重用于描述非平稳信号的短时平稳段的统计特

征（信号的瞬态特征，可直接观测到）；另一重随机过程描述了每个短时平稳段是如何转变

到下一个短时平稳段，即短时统计特征的动态特性（隐含在观察序列中)-Hidden Markov process is a doubly stochastic process: a weight used to describe the non-stationary signal short plateau statistical Special

Sign (signal transient characteristics, can be directly observed)　another important stochastic process describes how each segment is a short smooth transition

Smooth short paragraph to the next, that the dynamic characteristics of short-term statistical characteristics (implicit in the observation sequence