文件名称:ISO-8859-1__audio_C
- 所属分类：
- 嵌入式/单片机编程
- 资源属性：
- [C/C++] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 9kb
- 下载次数：
- 0次
- 提 供 者：
- nguyent********
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
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/, where you have access to the Subversion repository, mailing lists and forums.
The GHMM is developed by the Algorithmics group at the Max Planck Institute for Molecular Genetics.
Features
* Discrete and continous emissions
* Mixtures of PDFs for continous emissions
* Non-homogenous Markov chains
* Pair HMMs (contributed by Genoscope )
* Clustering and mixture modelling for HMMs
* Graphical Editor HMMEd
* Python bindings
* XML-based file format
* Portable (autoconf, automake, Windows)
* C++ API (NOT under active development, unsupported) -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/, where you have access to the Subversion repository, mailing lists and forums.
The GHMM is developed by the Algorithmics group at the Max Planck Institute for Molecular Genetics.
Features
* Discrete and continous emissions
* Mixtures of PDFs for continous emissions
* Non-homogenous Markov chains
* Pair HMMs (contributed by Genoscope )
* Clustering and mixture modelling for HMMs
* Graphical Editor HMMEd
* Python bindings
* XML-based file format
* Portable (autoconf, automake, Windows)
* C++ API (NOT under active development, unsupported)
The GHMM is developed by the Algorithmics group at the Max Planck Institute for Molecular Genetics.
Features
* Discrete and continous emissions
* Mixtures of PDFs for continous emissions
* Non-homogenous Markov chains
* Pair HMMs (contributed by Genoscope )
* Clustering and mixture modelling for HMMs
* Graphical Editor HMMEd
* Python bindings
* XML-based file format
* Portable (autoconf, automake, Windows)
* C++ API (NOT under active development, unsupported) -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/, where you have access to the Subversion repository, mailing lists and forums.
The GHMM is developed by the Algorithmics group at the Max Planck Institute for Molecular Genetics.
Features
* Discrete and continous emissions
* Mixtures of PDFs for continous emissions
* Non-homogenous Markov chains
* Pair HMMs (contributed by Genoscope )
* Clustering and mixture modelling for HMMs
* Graphical Editor HMMEd
* Python bindings
* XML-based file format
* Portable (autoconf, automake, Windows)
* C++ API (NOT under active development, unsupported)
(系统自动生成,下载前可以参看下载内容)
下载文件列表
audio_C
.......\audio.c
.......\audio.elf
.......\audio.srec
.......\audio_C.ncf
.......\audio.c
.......\audio.elf
.......\audio.srec
.......\audio_C.ncf