Description: c++实现HMM，向前向后算法，Viterbi算法，Baum-Welch算法。其中包括用c++定义的HMM数据结构。全部是cpp和h的文件-c achieve HMM, forward backward algorithm, Viterbi algorithm, Baum-Welch algorithm. C including the use of the HMM definition data structure. Cpp all the documents and h Platform: |
Size: 8192 |
Author:宋敏 |
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Description: Matlab中有关HMM的函数集。给出了详细的源代码，可以用于hMM在各个领域的研究和开发-Matlab the HMM Function Set. Given the detailed source code, hMM can be used in various fields of research and development Platform: |
Size: 26624 |
Author:蒋荣 |
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Description: 实现了隐马尔可夫模型的算法。可用向前算法和向后算法对模型进行训练。-Realize the hidden Markov model algorithms. Algorithm can be used forward and backward algorithm for training the model. Platform: |
Size: 3603456 |
Author:waterlily |
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Description: 在matlab环境下的向前和向后euler算法价偏微分方程问题-Matlab environment in the forward and backward Euler algorithm for partial differential equations the question of price Platform: |
Size: 1024 |
Author:汪波 |
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Description: This a hidden Markov model (HMM) modeling program. Forward-backward algorithm is implemented to learn a model under maximum likelihood criterion.-This is a hidden Markov model (HMM) modeling program. Forward-backward algorithm is implemented to learn a model under maximum likelihood criterion. Platform: |
Size: 2911232 |
Author:SUNGWOONG KIM |
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Description: 【配网潮流计算程序】本程序采用前推回代法，适用于35kV以下辐射型开式网络潮流计算，且若支路有备用支路需换算为单支路再行计算，适用于回路无环路时（有详细程序说明）。-【Distribution network load flow calculation program】 This procedure uses forward and backward on behalf of the law applicable to the following radiation-type open-35kV network flow calculation, and if there are alternate slip road slip road slip road to be converted into a single re-calculated for loop-free loop (for a detailed description of the procedures). Platform: |
Size: 2048 |
Author:王志成 |
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Description: Linear dynamical system. This set of functions performs inference and learning of a linear Kalman filter model. Inference is carried out via forward-backward smoothing, and learning is accomplished via the expectation maximization algorithm. Platform: |
Size: 6144 |
Author:ruso |
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Description: Factorial hidden markov model and compute likelihood per each cycle with train test and validation set. train HMM used Backward-Forward Algorithm. Platform: |
Size: 484352 |
Author:ali |
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Description: matlab implementation for forward-backward algorithm for train and test of hidden markov model (HMM). Platform: |
Size: 1024 |
Author:mohsen |
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Description: 配网前推回代潮流算法的matlab程序，采用IEEE33节点作为算例-Distribution network trend of forward and backward substitution algorithm matlab program, IEEE33 node as an example Platform: |
Size: 1024 |
Author:杨娜 |
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Description: 配网前推回代潮流算法的matlab程序，采用IEEE33节点作为算例-Distribution network trend of forward and backward substitution algorithm matlab program, IEEE33 node as an example Platform: |
Size: 1024 |
Author:wv460lia |
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Description: his MATLAB exercises illustrates an algorithm for estimating the locations of the formants of voiced speech intervals based on the locations of the speech polynomial roots as obtained a frame-based analysis of a speech signal using the method of Linear Prediction Analysis. A key aspect f this algorithm is finding regions of quasi-contiguous speech frames (where the first three formants form a contiguous region over the duration of the voiced region), and then extending these regions (both backward and forward) based on a somewhat weaker criterion for contiguous behavior of the formants. The file 4.7 Formant Estimation.pdf provides a User s Guide for this exercise.-his MATLAB exercises illustrates an algorithm for estimating the locations of the formants of voiced speech intervals based on the locations of the speech polynomial roots as obtained a frame-based analysis of a speech signal using the method of Linear Prediction Analysis. A key aspect f this algorithm is finding regions of quasi-contiguous speech frames (where the first three formants form a contiguous region over the duration of the voiced region), and then extending these regions (both backward and forward) based on a somewhat weaker criterion for contiguous behavior of the formants. The file 4.7 Formant Estimation.pdf provides a User s Guide for this exercise. Platform: |
Size: 2832384 |
Author:BIN TENG |
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Description: matlab上实现的前推回代算法，结合遗传算法，有效的电网系统无功功率的优化问题，采用的模型是22节点的电力系统模型。-Matlab implementation of the forward and backward generation algorithm, combined with genetic algorithm, an effective power system reactive power optimization problem, the model is a 22 node power system model. Platform: |
Size: 1165312 |
Author:Jorge |
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Description: 实现了Floyd的前向后向寻找路由的算法，同时也实现了最短路径的求法(The algorithm of searching the route from the forward to the backward of Floyd is implemented, and the shortest path is also realized) Platform: |
Size: 62464 |
Author:QLxiong
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Description: 文件夹包括：经典MUSIC算法、基于波束空间的MUSIC算法、Root-Music算法、前向平滑MUSIC算法、后向平滑MUSIC算法、双向平滑MUSIC算法、奇异值算法、线性预测算法及旋转不变子空间算法等，是学习空间谱估计的很好例程(Folders include: classical MUSIC algorithm, beamspace-based MUSIC algorithm, Root-Music algorithm, forward smoothing MUSIC algorithm, backward smoothing MUSIC algorithm, bidirectional smoothing MUSIC algorithm, singular value algorithm, linear prediction algorithm and rotation invariant subspace algorithm. They are good examples of learning space spectrum estimation.) Platform: |
Size: 14336 |
Author:zhouguoxian |
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