隐马尔科夫模型 Resources

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This approach utilizes the Expectation-Maximization (EM) algorithm for parameter training in wavelet domain Hidden Markov Models (HMMs), demonstrating improved efficiency in training time compared to alternative methods. The implementation involves iterative estimation of latent state probabilities and optimization of model parameters through maximum likelihood estimation.

MATLAB 266 views Tagged