搜索资源列表
HMM
- 隐马尔科夫模型的C++实现，注释详细，算法可靠-HMM C++
hmm
- 在语音识别领域改代码运用隐马尔科夫模型可以实现很好的识别性能-Change the code in the field of speech recognition using Hidden Markov model can achieve good recognition performance
Markov-prediction
- 这个是计算地理学课程 用C# 编写的马尔科夫预测的程序 是窗体应用程序 对于课程大作业很有用哦- This is calculated geography curriculum written in C# Markov prediction program is a form of application for large jobs program useful oh
ImageSegmentation
- 马尔科夫随机场用于图像分割,基于能量法的条件概率分部来实现图形像元之间的分割。-MRF for image segmentation.Based on the energy method of conditional probability division to achieve the segmentation between graphics pixels.
fixed-point-functional-equation
- 不动点方程法，解决隐马尔科夫过程的熵率计算问题，二元对称信道-Fixed point equation method to solve the entropy rate of the Hidden Markov Models computational problems, binary symmetric channel
mcmcexamples
- MCMC（马尔科夫莫特卡洛）方法源代码，MCMC的具体方法有M-H法和Gibbs采样 -Markov Chain Monte Carlo
HMM-python-master
- 用python实现了隐马尔科夫模型的概率计算和预测部分，主要是前向后向算法和维特比算法-Realized with python hidden Markov model probability calculation and prediction part is mainly forward-backward algorithm and the Viterbi algorithm
gbvs
- 显著性代码，GBVS算法是一种提取人眼感兴趣区域的算法，与Itti模型不同，采用马尔科夫链，用其平稳分布来提取显著图。-Salient code, interested in the human eye area is extracted by GBVS algorithm,it is unlike Itti model. The markov chain and the stationary distribution is used to extract significant figure.
HMMall
- 隐马尔科夫模型Hidden Markov Model的Matlab实现-the source code of realization of Hidden Markov Model in form of Matlab
-Speech-Recognition
- 对隐形马尔科夫过程在语音识别中的应用进行了深入浅出的论证。可供相关领域学习参考。-A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition
MCMCMH
- 马尔科夫蒙特卡洛，通过MH算法对初始状态和状态转移矩阵进行预测-Markov Chain Monte Carlo, by MH algorithm to the initial state and the state transition matrix to predict
MCMC_CorpFin
- 马尔科夫蒙特卡洛在经济分析中的应用，主要侧重平稳过程后的分析-Markov Chain Monte Carlo applications in economic analysis, the analysis focused primarily on stationary process after
UEMC
- 分别假定英文信源为m 0,1,2,...,5 阶马尔科夫链考察其熵率、 信息 冗余度和结构信息；仅考虑英文的 阶马尔科夫链考察其熵率、 信息 冗余度和结构信息；仅考虑英文的 26 个字母，不区分大小写。 用MATLAB 实现。-English sources are assumed as m 0,1,2, ..., 5-order Markov chain examine its entropy rate, information redundancy and structu
HMM
- HMM隐马尔科夫模型，用python语言实现，能够运行，需要安装相应的库。-HMM hidden Markov model, using python language, be able to run, you need to install the appropriate libraries.
A-New-Approach-to-Segmentation
- 一种新型的多光谱的基于马尔科夫随机场的遥感图像的分割-Remote Sensing Images Based on Markov Random Field Segmentation of a new type of multi-spectral
MRF-Energy-Minimizatio
- 一种马尔科夫随机场能量最小化的方法，是通过双向分解实现的-A Markov random field energy minimization approach is achieved by two-way decomposition
c832a9bf
- 1.MATLAB中的画圆程序：circle.m。 2.MATLAB中的GPS单点定位函数：pos_fix.m。 3.MATLAB中的读取RINEX格式的导航电文文件程序：readnavfile.m。 4.MATLAB中的读取YUMA格式历书的函数：ReadAlmanac.m。 5.MATLAB中的生成一节高斯马尔科夫序列：gmp1.m-1.MATLAB circle in the program: circle.m. 2.MATLAB single poi
MRF_SA
- 基于马尔科夫随机场（MRF）的光谱分析程序，修改可用-Spectral Analysis based on MRF
markolimit
- 马尔科夫链求极限，在matlab中应用，状态转移矩阵可以更改-Markov chain requirements limit the application in matlab, the state transition matrix can be changed
Event-Detection-HMM-Model-master
- 基于隐马尔科夫模型的事件检测,通过隐马尔科夫模型的训练学习即可检测特定的事件-event-detection based on HMM