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Signal Processing

隐马尔可夫模型

Hidden Markov Model

A statistical Markov model in which the system being modeled is assumed to be a Markov process with unobservable (hidden) states. / 一种统计马尔可夫模型,假设被建模的系统是一个具有不可观测(隐藏)状态的马尔可夫过程。

Knowledge type
数学理论
First proposed or discovered
Proposer
Turkey Farm member
Creator
农场主
Last updated
2026-11-15 19:06:07
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Sub-knowledge points

Two-State Hidden Markov Model / 工艺技术State estimationParameter learningDecoding

Higher-order knowledge points

Bayesian inferenceStochastic processes

Main parameters and performance indicators

Observation sequence: The sequence of observed data pointsState transition probabilities: Probabilities of moving between hidden statesEmission probabilities: Probabilities of observing a particular output given a hidden state

Open problems

No unresolved problem recorded yet

Related literature

ranked by community stars
Spectrum sensing based on HMM-VMD algorithm for USB TT C waveform in non-cooperative scenariosOpen source

Related products and links

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Creation and modification trail

1 records
automated knowledge publish农场主2026-11-15 19:05:29

Record title: Hidden Markov Model.