文件名称:hmm
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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
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
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下载文件列表
clustering.asv
clustering.m
getcluster.asv
getcluster.m
getsample.asv
getsample.m
pGauss.asv
pGauss.m
pOutput.m
sound_nm.asv
testhmm.m
trainhmm.asv
trainhmm.m
viterbi.m