搜索资源列表
random_walk_3D
- Brownian motion. A random walk is similar to markov process, however a markov process has no memory, where a random walk uses an initial state. The next step in the walk does not necessarily depend on your current state but will be referenc
random_walk
- 2D version of Brownian motion. A random walk is similar to markov process, however a markov process has no memory, where a random walk uses an initial state. The next step in the walk does not necessarily depend on your current state but wil
quanbu_HMM
- 全部 隐马尔科夫模型程序，解压1.5M，任何需要都可以从中提取，算法大汇聚-All the hidden Markov model program, unzip 1.5M, any need can extract, the algorithm is a large gathering of
hmm12345
- 基于隐形马尔科夫的特征提取技术，hmm，opencv-Extraction technique based on the characteristics of stealth Markov，hmm，opencv
HMM
- 隐马尔科夫模型相关算法，包括前向算法、后向算法，维特比算法等-Hidden markov model algorithm, including the forward algorithm and backward algorithm and viterbi algorithm, etc
001
- 指纹分类是针对大型指纹库的一个重要的索引方式, 可以有效地提高指纹匹配的效率. 指纹类型的不同表现为指纹纹 理结构的差异, 而指纹的方向场则可以有效地描述纹理结构的差异. 同一类型指纹不同区域上方向角结构的差异以及相邻区域 间方向角结构的联系可以视作一个马尔可夫随机场. 本文利用嵌入式隐马尔可夫模型对指纹方向场进行建模分析, 通过合理地 抽取指纹的类型特征, 构造观察向量、进行建模训练, 然后利用训练好的马尔可夫模型进行匹配, 最终提出并实现了一种新的鲁 棒性强且精度较高的指纹分
msvar-
- msvar 马尔科夫链 分析源码，使用ox cosole-msvar Markov chain analysis of source code, using ox cosole
HMM_pro
- 隐马尔科夫程序，主要用于语言识别，已经调试好叻，效果很好。-Hidden Markov program, mainly used for speech recognition, has good debugging Ratchasima, the effect is very good.
online_em
- 基于隐马尔可夫模型的在线学习程序，通过不断观测到的数据，进行数据的修正。-Online learning program based on hidden markov model，By the observed data，realizing data correction
sample_mhmm
- 基于隐马尔可夫模型的样本产生程序，从而实现参数的确定。-Based on hidden markov model of the sample program，So as to realize the determination of parameters
Examples
- 基于隐马尔可夫模型的学习推理的具体示例教程。-Learning reasoning based on hidden markov model concrete examples of tutorial
IMM-Kalman-filter--simulation
- 结合雷达跟踪的空中目标的实际情况，针对目标运动模型中的线性运动和非线性运动，分别设计了两种模型，并用马尔科夫状态转移矩阵实现IMM算法。最后对交互多模型卡尔曼滤波算法进行了Matlab仿真及结果分析。-Combined with radar tracking air targets, for linear and non-linear movement of target motion model, two models were designed and used a Markov state
CPP-For-HMMs-Three-Question
- 关于隐马尔可夫模型HMM三个问题的实现，用c++实现，是初学者学习的好资料-Hidden Markov Model HMM three realization c++ of realization is good for beginners to learn
mathematical-model-15
- matlab数学建模中的15个模型的算法讲解与举例，包括灰色预测、灰色关联分析、主成分分析法、模糊聚类分析、随机模拟、多元回归模型、正交试验设计、图论、目标规划模型、马尔可夫预测方法、时间序列分析、模糊综合评价模型、层次分析模型、模糊数学方法、模拟退火算法。-15 model matlab mathematical modeling method to explain with examples, including the gray prediction, gray correlation a
HMM0
- 基于贝叶斯工具箱BNT的隐马尔科夫简单模型，比较适合新手的学习-More suitable for novice learning a simple model based on the the Bayesian toolbox BNT hidden Markov
model
- Markov Chain 3,4 states -Simple Markove Chain with 2,3,4 states
matlab
- 信息论实验仿真。包括马尔科夫信源、huffman编码、瑞利分布、分组码编码、熵计算等等。-Information theory experimental simulation. Markov source, huffman coding, Rayleigh distribution block code encoding, entropy calculations, and so on.
WindyGridWorldQLearning
- Q-learning (Watkins, 1989) is a simple way for agents to learn how to act optimally in controlled Markovian domains. It amounts to an incremental method for dynamic programming which imposes limited computational demands. It works by successively
BPNN_Markov
- 结合马尔科夫和BP神经网络模型的预测决策支持系统-Combined Markov and BP neural network model predictive decision support system
Gibbs
- 吉布斯分布代码，常用于马尔科夫随机场分割和识别-Gibbs distribution code, commonly used for Markov Random Field segmentation and recognition