搜索资源列表
waveletHMM
- 发表在IEEED,用HMM做信号的小波去噪和检测的论文,引用率非常高-Wavelet-Based Statistical Signal Processing Using Hidden Markov Models
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- Hidden Markov Modelsand its Application in Automatic Speech Recognition
HHMM
- 一些关于分层隐马尔可夫的几篇文章,是关于模式识别与分类的,希望对大家有所帮助-Hierarchical Hidden Markov about several articles on pattern recognition and classification, we want to help
hmm
- 基于MATLAB的HMM算法的实现(Machine Learning Toolbox)包含Baum-Welch 算法的应用-MATLAB-based HMM Algorithm
HMM2_Baum_Welch
- 混合二阶隐马尔可夫模型的Baum_Welch算法-Mixed second-order Hidden Markov Model Baum_Welch algorithm
04
- 根据遥感图像纹理所呈现的多尺度特性和随机的特性,采用基于小波域 隐马尔可夫树模型对纹理进行分析,并有机地结合遥感图像的要求和特点进行深入研究。 -According to remote sensing image texture features presented and random multi-scale features, based on wavelet domain hidden Markov tree model for texture analysis, and the
Matlab7011478617
- 基于MATLAB7.0的统计信息处理,很厚的一本书,包含了特多的统计学算法及MATLAB实现,比如隐马尔科夫连,最小二乘法等统计学算法-Statistical information processing based on MATLAB7.0 very thick book that contains a special number of statistical algorithms and MATLAB implementation, such as hidden Markov with,
lecture08_Viterbi
- CS 552/652 Speech Recognition with Hidden Markov Models Summer 2009 Oregon Health & Science University School of Science & Engineering Division of Biomedical Computer Science Center for Spoken Language Understanding John-Paul H
Contourlettest
- 这是一个基于隐马尔科夫模型的去噪程序,具有一定的参考价值-This is a procedures based on hidden Markov model, it is worthy of a download
ISO-8859-1__audio_C
- The General Hidden Markov Model library (GHMM) is a freely available LGPL-ed C library implementing efficient data structures and algorithms for basic and extended HMMs. The development is hosted at Sourceforge http://sourceforge.net/projects/ghmm/,
hmm
- 隐马尔可夫模型源代码,实现了最基本的三个算法-Hidden Markov model source code, to achieve the most basic of the three algorithms
gugeheibanbaoshuxuezhimei
- 分多个系列详细介绍了数学的应用,如统计语言模型,中文分词,隐含马尔科夫模型在语言处理中的应用等等非常经典的例子,让我们更深入学习了解数学的光芒所在-Described in detail in several series of mathematical applications, such as statistical language model, Chinese word segmentation, hidden Markov model of language processing an
1003.5627
- Wavelet-Based Mel-Frequency CepstralCoefficients for Speaker Identification using Hidden Markov Models
Viterbi
- The Viterbi algorithm is a dynamic programming algorithm for finding the most likely sequence of hidden states – called the Viterbi path – that results in a sequence of observed events, especially in the context of Markov information sources, and mor
new_hmm
- 隐马尔可夫模型,适用于DTW定点算法寻址。有很强的功能性-Hidden Markov model for fixed-point algorithm for addressing DTW. Has a strong functional ~ ~
hmm_training_DTW
- 隐马尔可夫模型的寻址型DTW定点算法,测试可以通过,欢迎大家分享学习~-Hidden Markov Model-based DTW fixed-point algorithm for addressing the test can be welcome to share learning ~
hmm
- here is a source code for Hidden Markov Models
231
- this file about Morphology Analysis of Physiological Signals Using Hidden Markov Models
zSteps
- Hidden Markov Models (HTK 3.3) usage steps
multiscale
- 多尺度变换域隐马尔可夫模型能够有效地描述变换域系数在尺度间、尺度内和方向间的统计相关性,是 一种新的统计图像感知与识别方法. 文中以变换域系数的统计相关性描述为中心,以模型的设计和应用的开展为 两翼,深入分析了子波变换的三级统计特性与机理,比较研究了多尺度变换域的十种统计模型,并系统评述了这些 模型在图像感知、处理和分析中的最新进展. 同时,具体论述了这一领域研究中两类成功的实例:图像去噪和图像 纹理分割. 对于前者,以Lena 图像为测试用例分析比较了以变换域统计模型为核心的