Description: Julius 是一种高性能，两通大词汇量连续语音识别（LVCSR）语音相关的研究和开发的解码器软件。基于字的N-gram和上下文相关的HMM模型，它可以进行几乎实时实时解码目前大多数电脑在60K字听写任务。完全纳入，如树的N-gram词汇，保，跨词的上下文依赖处理，包围梁搜索，高斯修剪，高斯的选择，除了搜索效率等各大搜索技术，它也是模块化小心从模型结构独立，如共享状态triphones的和并列混合模型与任意数量的混合物，州或手机，支持各种HMM的类型。采用标准格式，以配合HTK的，债务工具中央结算系统-CAM可持续土地管理工具包，等其他诸如免费建模工具包- Julius is a high-performance, two-pass large vocabulary continuous speech recognition (LVCSR) decoder software for speech-related researchers and developers. Based on word N-gram and context-dependent HMM, it can perform almost real-time decoding on most current PCs in 60k word dictation task. Major search techniques are fully incorporated such as tree lexicon, N-gram factoring, cross-word context dependency handling, enveloped beam search, Gaussian pruning, Gaussian selection, etc. Besides search efficiency, it is also modularized carefully to be independent from model structures, and various HMM types are supported such as shared-state triphones and tied-mixture models, with any number of mixtures, states, or phones. Standard formats are adopted to cope with other free modeling toolkit such as HTK, CMU-Cam SLM toolkit, etc. Platform: |
Size: 1761280 |
Author:张文原 |
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Description: 内含visual C++和MATLAB代码，利用高斯呼喝模型进行背景建模，自适应确定高斯分量的个数，由Z.Zivkovic开发，相关文章是 Improved adaptive Gausian mixture model for background subtraction-Containing visual C++ and MATLAB code, the use of Gaussian background modeling feeding model, adaptive determine the number of Gaussian components, developed by Z.Zivkovic related article Improved adaptive Gausian mixture model for background subtraction Platform: |
Size: 368640 |
Author:huang |
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Description:
BLS-GSM代表“Bayesian Least Squares - Gaussian Scale Mixture(贝叶斯最小二乘-高斯尺度混合模型)”。
这个工具箱实现了该篇论文中介绍的算法：
J Portilla, V Strela, M Wainwright, E P Simoncelli, Image Denoising
using Scale Mixtures of Gaussians in the Wavelet Domain, IEEE
Transactions on Image Processing. vol 12, no. 11, pp. 1338-1351,
November 2003
这个工具箱进行图像去噪时，假定噪声类型为高斯噪声并且我们知道它的功率谱密度（不需要是白色的）。-BLS-GSM stands for Bayesian Least Squares- Gaussian Scale Mixture .
This toolbox implements the algorithm described in:
J Portilla, V Strela, M Wainwright, E P Simoncelli, Image Denoising
using Scale Mixtures of Gaussians in the Wavelet Domain, IEEE
Transactions on Image Processing. vol 12, no. 11, pp. 1338-1351,
November 2003
This
tool implements image denoising assuming that the noise is Gaussian,
and that we know its power spectral density (it does not need to be white). Platform: |
Size: 999424 |
Author:沙天飞 |
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Description: 创建一个混合的高斯正太分布图，先初始化，再创建，最后出图-Create a mixture of Gaussian normal distribution chart, the first initialized, create, and finally the plot Platform: |
Size: 1024 |
Author:jingwen |
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Description: 基于opencv的运动目标检测，采用了混合高斯和背景相减两种方法，带源码，希望有点用-Opencv based moving target detection, using a mixture Gaussian and background subtraction of two ways, with source code, hope Somewhat Platform: |
Size: 11822080 |
Author:高文 |
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Description: 隐马尔科夫模型工具箱，readme文档介绍了该工具箱的使用方法-Hidden Markov Model (HMM) Toolbox written by Kevin Murphy (1998).
Seehttp://www.ai.mit.edu/~murphyk/Software/hmm.html for details.
Models
dhmm = HMM with discrete output
mhmm = HMM with mixture of Gaussians output Use mhmm with M=1 components to simulate an HMM with a single Gaussian output. Platform: |
Size: 30720 |
Author:kong |
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Description: 这个 matlab 代码仿真了M-QAM的传输。M的取值不同，调制方式分别为4QAM，16QAM，64QAM等。传输信道为AWGN信道，能出误码率曲线(Digital Unit Impulse Discrete Harmonic Signals and their Linear Combination
Harmonic Signal with Exponential Envelope.
Periodic Sequence of Rectangular Impulses
Mixture of Harmonic Signal and White Gaussian) Platform: |
Size: 3072 |
Author:Bieke |
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Search - gaussian Mixture