Description: CHMMBOX, version 1.2, Iead Rezek, Oxford University, Feb 2001
Matlab toolbox for max. aposteriori estimation of two chain
Coupled Hidden Markov Models.
-CHMMBOX, version 1.2, Iead Rezek, Oxford University, Feb 2001 Matlab toolbox for max. aposteriori es timation of two chain Coupled Hidden Markov Mod els. Platform: |
Size: 823205 |
Author:Joyce |
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Description: HMMBOX, version 3.2, William Penny, Imperial College, Feb 1999
Matlab toolbox for Hidden Markov Models-HMMBOX, version 3.2, William Penny, Imperial College, Feb 1999 Matlab toolbox for Hidden Markov Model s Platform: |
Size: 717045 |
Author:Joyce |
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Description: VARHMMBOX, version 1.1, Iead Rezek, Oxford University, MAR 2002
Matlab toolbox for Hidden Markov Models-VARHMMBOX, version 1.1, Iead Rezek, Oxford University, MAR 2002 Matlab toolbox for Hidden Markov Model s Platform: |
Size: 430252 |
Author:Joyce |
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Description: 隐马尔可夫模型,C语言编写,重要的是里面附带有隐马尔可夫模型原理介绍的ppt,可以对应学习-HMM, C language, it is important that they are incidental tenets of Hidden Markov Models introduced ppt, can learn from counterparts Platform: |
Size: 39936 |
Author:王飞 |
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Description: 这个是隐markov模型中viterbi算法实现的一个具体实例程序 很好-This is a hidden markov models Viterbi Algorithm in a specific example of good procedures Platform: |
Size: 1024 |
Author:juliamie |
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Description: CHMMBOX, version 1.2, Iead Rezek, Oxford University, Feb 2001
Matlab toolbox for max. aposteriori estimation of two chain
Coupled Hidden Markov Models.
-CHMMBOX, version 1.2, Iead Rezek, Oxford University, Feb 2001 Matlab toolbox for max. aposteriori es timation of two chain Coupled Hidden Markov Mod els. Platform: |
Size: 823296 |
Author:Joyce |
Hits:
Description: HMMBOX, version 3.2, William Penny, Imperial College, Feb 1999
Matlab toolbox for Hidden Markov Models-HMMBOX, version 3.2, William Penny, Imperial College, Feb 1999 Matlab toolbox for Hidden Markov Model s Platform: |
Size: 716800 |
Author:Joyce |
Hits:
Description: VARHMMBOX, version 1.1, Iead Rezek, Oxford University, MAR 2002
Matlab toolbox for Hidden Markov Models-VARHMMBOX, version 1.1, Iead Rezek, Oxford University, MAR 2002 Matlab toolbox for Hidden Markov Model s Platform: |
Size: 430080 |
Author:Joyce |
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Description: 基于统计的分词,采用隐马尔可夫模型,并有实验报告-Based on statistics segmentation using hidden Markov models, and there is experimental report Platform: |
Size: 3781632 |
Author:崇丽岩 |
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Description: The Rice Wavelet Toolbox (RWT) is a collection of Matlab M-files and C MEX-files for 1D and 2D wavelet and filter bank design, analysis, and processing. The toolbox provides tools for denoising and interfaces directly with our Matlab code for wavelet domain hidden Markov models and wavelet regularized deconvolution. Platform: |
Size: 55296 |
Author:Galilleo |
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Description: #
# Hidden Markov Tree Model of Contourlet Transform: MATLAB source code that implements hidden Markov tree models for wavelet and contourlet transforms. See paper Directional multiscale modeling of images using the contourlet transform.-#
# Hidden Markov Tree Model of Contourlet Transform: MATLAB source code that implements hidden Markov tree models for wavelet and contourlet transforms. See paper Directional multiscale modeling of images using the contourlet transform. Platform: |
Size: 2267136 |
Author:dao |
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Description: Hidden SemiMarkov models 主要是改进HMM存在状态保持时间的局限性,引入了持续时间的函数显式表达-Hidden SemiMarkov models was mainly to improve HMM state of existence to maintain the limitations of time, the introduction of an explicit function of the duration of expression of Platform: |
Size: 17408 |
Author:Shannon Liu |
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Description: The new speech recognition algoritm using the theory of Hidden Markov Models and wavelet transform is offered. Platform: |
Size: 9216 |
Author:Ilya Veselov |
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Description: the newer version from HMMbox 3.2
Matlab toolbox for Variational estimation Hidden Markov Models.
(Adapted from Hidden Markov Toolbox Version 3.3 01-Apr-99 and
Coupled Hidden Markov Toolbox Version 1.1 01-Feb-01
Copyright (c) by Iead Rezek, Oxford University)
The software uses some NETLAB routines
(see http://neural-server.aston.ac.uk/netlab/index.html
so you ll need to have NETLAB on your search path
See the file VERSION for what s new in this version.
The observation models has so far been implemented are
Gaussian, Poisson and Dirichlet
-the newer version from HMMbox 3.2
Matlab toolbox for Variational estimation Hidden Markov Models.
(Adapted from Hidden Markov Toolbox Version 3.3 01-Apr-99 and
Coupled Hidden Markov Toolbox Version 1.1 01-Feb-01
Copyright (c) by Iead Rezek, Oxford University)
The software uses some NETLAB routines
(see http://neural-server.aston.ac.uk/netlab/index.html
so you ll need to have NETLAB on your search path
See the file VERSION for what s new in this version.
The observation models has so far been implemented are
Gaussian, Poisson and Dirichlet
Platform: |
Size: 164864 |
Author:iwan |
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Description: VARHMMBOX, version 1.1, Iead Rezek, Oxford University, MAR 2002
Matlab toolbox for Hidden Markov Models
(Adapted from Machine Learning Toolbox
Version 1.0 01-Apr-96
Copyright (c) by Zoubin Ghahramani, University of Toronto)
The software uses some NETLAB routines
(see http://neural-server.aston.ac.uk/netlab/index.html)
so you ll need to have NETLAB on your search path
See the file VERSION for what s new in this version.-VARHMMBOX, version 1.1, Iead Rezek, Oxford University, MAR 2002
Matlab toolbox for Hidden Markov Models
(Adapted from Machine Learning Toolbox
Version 1.0 01-Apr-96
Copyright (c) by Zoubin Ghahramani, University of Toronto)
The software uses some NETLAB routines
(see http://neural-server.aston.ac.uk/netlab/index.html)
so you ll need to have NETLAB on your search path
See the file VERSION for what s new in this version.
Platform: |
Size: 74752 |
Author:iwan |
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Description: 语音信号数字处理是一门涉及面很广的交叉科学,这本书介绍了语音信号的数字表示,矢量量化,隐马尔科夫模型,语音合成,语音识别,语音增强,说话人识别等知识-Speech signal digital processing is a wide-ranging cross-science, this book describes a digital representation of the speech signal, vector quantization, hidden Markov models, speech synthesis, speech recognition, speech enhancement, speaker recognition of such knowledge Platform: |
Size: 23527424 |
Author:张玉 |
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Description: 针对合成孔径雷达(SAR) 图像含有大量斑点噪声的特点,基于Contourlet 的多尺度、局部化、方向性和各向
异性等优点,并结合隐马尔科夫树( HMT) 模型和隐马尔科夫场(MRF) ,提出了一种基于Contourlet 域持续性和聚
集性的SAR 图像模糊融合分割算法。该算法有效捕获了Contourlet 子带的持续性和聚集性,并分别用HMT 和
MRF 来刻画,再依据模糊测度,将多尺度HMT 和MRF 有机融合,建立Contourlet 域HMT2MRF 融合模型,并导
出新模型下的最大后验概率(MAP) 分割公式。对实测SAR 图像进行了仿真,仿真结果和分析表明:与小波域上的
HMT2MRF 融合分割及Contourlet 域上HMT 和MRF 分割算法相比,该算法在抑制斑点噪声的同时,有效地提高
了SAR 图像的分割精度- In view of the speckle noise in the synthetic aperture radar (SAR) images , and based on the Contourlet′s
advantages of multiscale , localization , directionality , and anisot ropy , a new SAR image fusion segmentation
algorithm based on the pe rsis tence and clustering in the Contourlet domain is p roposed. The algorithm captures the
pe rsis tence and clus tering of the Contourlet t ransform , which is modeled by hidden Markov t ree (HMT) and Markov
random field (MRF) , respectively. Then , these two models are fused by fuzzy logic , resulting in a Contourlet
domain HMT2MRF fusion model . Finally , the maximum a poste rior (MAP) segmentation equation for the new fusion
model is deduced. The algorithm is used to emulate the real SAR images . Simulation results and analysis indicate that
the p roposed algorithm effectively reduces the influence of multiplicative speckle noise , imp roves the segmentation
accuracy and p rovides a bet te r visual quality for SAR images ove r the Platform: |
Size: 897024 |
Author:周二牛 |
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