搜索资源列表
Discrete Hidden Markov Models Toolbox_010401
- 离散隐马尔科夫模型工具箱
Part_Of_Speech_Label.rar
- JAVA实现的基于隐马尔科夫模型的词性标注。有指导的学习，附带语料，供参考,JAVA realization of hidden Markov model based on the part of speech tagging. Guided learning, incidental corpus, for reference
HMM21.rar
- 基于隐马尔科夫模型的分词，标注，词法分析的资料,Hidden Markov Model-based sub-word tagging information
HowtousetheHMMtoolbox
- 隐马尔可夫模型工具箱使用说明，以HMM工具箱的一个例子作为使用示范。-Hidden Markov Model Toolkit for use to HMM toolbox as an example of a demonstration.
hmm
- 对 隐马尔科夫工具包的使用及安装进行说明，主要是在matlab下运用
808833347HMM
- matlab 隐马尔科夫程序 经过本人验证确实可以用，很好很强大-matlab Bee conly sua
HMM_Demo
- 隐马尔可夫模型演示程序，完整C++源代码。-Hidden Markov Model Demonstration Program, complete C++ Source code.
HMM_paper
- 隐马尔科夫理论，HMM的经典PAPER，-Hidden Markov theory, HMM classic PAPER,
HMM-DL
- 本文章描述了隐马尔科夫（HMM）在语音识别中的应用，介绍了评估、解码、训练-This article describes the hidden Markov [HMM] in speech recognition applications, introduce an evaluation, decoding, training
HMMall
- 马尔可夫过程是一类重要的随机过程,它的原始模型马尔可夫链,由俄国数学家Α.Α.马尔可夫于1907年提出。本程序是对隐马尔可夫模型的一个完整的建模。 -Markov process is one important class of stochastic processes, and its original model of Markov chain, by the Russian mathematician Markov Α.Α. made in 1907. This procedure is
BLS-GSM_Denoising
- 基于小波域隐马尔可夫模型的图像降噪，性能最好的图像降噪程序。 -Based on wavelet-domain Hidden Markov Model of image noise, the performance of the best image noise reduction procedures.
HMM
- 实现隐马尔可夫模型的viterby算法，用matlab实现的。-Hidden Markov Model to achieve viterby algorithm, achieved using matlab.
5678
- 基于改进的隐马尔科夫模型的语音识别方法,相关的论文,写的不错.- speech reco
hmms
- 本文详细噪声补偿的隐马尔可夫模型，并指出了它在信号处理中的应用，对未来提出了展望。-In this paper, the noise compensation for hidden Markov model, and pointed out that its signal processing applications, the outlook for the future.
Hidden_Markov_wavelet_denoising_matlab_program
- 介绍了小波隐马尔可夫去噪的matlab程序-Introduced the wavelet denoising matlab Hidden Markov process
HMM-FDR
- 基于隐马尔科夫链的多重假设检验程序,R语言环境,可能解决多重假设检验中存在的统计量相关问题-Large-Scale Multiple Testing under Dependency
HMM_Forward
- 根据隐马尔可夫模型，利用马尔可夫链前向算法，用于估值问题。-HMM-FORWARD
连续隐马尔可夫离散隐马尔科夫模型的MATLAB实现
- 隐马尔可夫连续和离散情况下的MATLAB实现(MATLAB Realization of Hidden Markov Continuous and Discrete Conditions)
Hidden-Markov
- 通过规定转移概率，构造的隐马尔可夫信道状态转移，生成接受序列，接收端接收到的接受序列(By specifying the transition probability, the state transition of the hidden Markov channel is constructed, and the receiving sequence is generated. The receiving sequence is received by the receiving end.)
GMM-HMRF
- 基于高斯混合模型和隐马尔科夫模型的图像分割算法(Image segmentation algorithm based on Gaussian mixture model and hidden Markov model)