搜索资源列表
CcodeofHMM
- 隐马尔可夫模型的C语言实现,经过测试准确,有要的 快下-Hidden Markov Model C language, the test accurately and quickly to the next
HMM-C-Algorithm
- 隐马尔可夫模型的C语言实现,人工智能算法领域的参考资料。-Hidden Markov Model C language, artificial intelligence algorithms field reference.
hmm_model
- 建立语音模型-隐马尔可夫模型的实现,是统计模型-model established voice-hidden Markov model to achieve statistical model
hmm1.0
- 这是隐马尔可夫模型的C语言原代码,用户下载时,注意,这些代码都已经调试通过,您只需再重新编译一次,就可以使用了!-This is the hidden Markov model of the original C language code, download, attention, these codes have been adopted debugging, you only need to re-compile time, can use it!
隐马尔可夫模型的源代码
- 隐马尔夫模型的源代码-implicit successor model of source code
hiddenmorcov
- 这是一个笔者撰写改进了别人的隐马尔可夫模型算法的程序。-This is a writer writing improvement of the people's hidden Markov model algorithm procedures.
hmarkov
- 隐马尔可夫模型源代码,可以用于图像处理,分为前项和后项-hidden Markov model source code, can be used for image processing, is divided into former and the latter
EHMMAndBPNNFRbylqh
- 关于采用嵌入式隐马尔可夫模型和神经网络的人脸识别博士论文,希望对做人脸识别论文和算法设计的人员有帮助。-on the use of embedded hidden Markov models and neural networks face recognition doctoral dissertation, want to do face recognition algorithm design papers and the staff helpful.
denoising
- 使用隐马尔可夫模型在小波域降噪处理运行环境Matlab-use of hidden Markov model in wavelet domain noise reduction processing operating environment Matlab
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.
semiMarkov
- 该程序实现半隐式马尔可夫模型。对于通信工作者以及对随机过程研究者有用。希望大家喜欢。-The program realization of semi-hidden Markov model. For the communication workers and researchers on the usefulness of stochastic processes. Hope everyone likes.
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
03
- 上下文分割算法EM 算法,相当经典。是基于小波域隐马尔可夫模型的多尺度图像分割。-Context of the EM segmentation algorithm, very classic. Is based on wavelet domain hidden Markov model multi-scale image segmentation.
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
HMMSim
- 隐马尔科夫模型可视化程序,操作简单,GUI界面-Hidden Markov Model Visualization program, simple, GUI interface
1whmt1.tar(1)
- 基于小波域隐马尔可夫树模型的图像分割算法,whmmt- Wavelet domain hidden Markov for image segmentation
4whmtc.tar
- 基于小波域隐马尔可夫模型树的纹理图像分割-Based on Wavelet Domain Hidden Markov Model Tree Texture Image Segmentation
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)