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Description: Matlab toolbox for Hidden Markov Modelling using Max. likelihood EM. Prerequisites: Matlab 5.0, System Identification Toolbox, Netlab, Marbox. LAST UPDATED: 25 Feb. 2002.
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Size: 716800 |
Author: 王冰 |
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Description: 这是一个用matlab写的小波域HMM进行一维信号处理的程序-This is a matlab written using wavelet-domain HMM for one-dimensional signal processing procedures
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Size: 10240 |
Author: 谭乔来 |
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Description: sar图像滤波的小波域多尺度hmm方法,小波处理sar图像-sar image filtering in wavelet domain multiscale hmm way to handle sar wavelet image
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Size: 284672 |
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Description: 基于小波包的孤立词语音识别技术，构建了一个关于方向信息的孤立词非特定人语音识别系统。给出了从模型训练到识别的实现过程。-Based on Wavelet Packet isolated word speech recognition technology, to build an information on the direction of non-specific people isolated word speech recognition system. From the model are given training to realize the process of identification.
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Size: 18776064 |
Author: wangyan |
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Description: 这是《精通VC++数字图像模式识别技术及工程实践[第2版]》光盘源代码，其中包括EM算法、fisher判别函数、HMM隐马尔科夫模型、BP神经网络、小波变换、alpha-beta剪枝、A*算法等，还包含几个纹理分析、人脸定位、字符识别、车牌号识别、8数码、黑白棋、离线/在线签名等实例，因此对于学习模式识别、人工智能的朋友们都大有裨益。光盘中的素材请见另外一个资源。-This is " proficient in VC++ Digital Image Pattern Recognition Technology and Engineering Practice [2nd edition]" CD-ROM source code, including the EM algorithm, fisher discriminant function, HMM hidden Markov model, BP neural network, wavelet transform, alpha- beta pruning, A* algorithm, but also contains a number of texture analysis, face positioning, character recognition, license plate number recognition, digital 8, Reversi, offline/online signatures examples, so for studying pattern recognition, artificial intelligence friends are of great benefit. CD-ROM material, see the other resources.
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Size: 14680064 |
Author: 吴 |
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Description: 基于小波域隐马尔可夫模型的时间序列分析_平滑_插值和预测-Based on Wavelet Domain Hidden Markov Model analysis of time series interpolation and forecasting _ smooth _
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Size: 522240 |
Author: 胡瑾秋 |
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Description: 二维线性鉴别分析(2DLDA)算法能有效解决线性鉴别分析(LDA)算法的“小样本”效应，支持向量机
(SVM)具有结构风险最小化的特点，将两者结合起来用于人脸识别。首先，利用小波变换获取人脸图像的低频分量，忽
略高频分量：然后，用2DLDA算法提取人脸图像低频分量的线性鉴别特征，用“一对多”的SVM 多类分类算法完成人脸
识别。基于ORL人脸数据库和Yale人脸数据库的实验结果验证了2DLDA+SVM算法应用于人脸识别的有效性。-”Small sample size”problem of LDA algorithm can be overcome by two—dimensional LDA f 2DLDA)，and
Support Vector Machine(SVM)has the characteristic of structural risk minimization．In this paper，two methods were
combined and used for face recognition．Firstly，the original images were decomposed into high—frequency and low—frequency
components by Wavelet Transform(WT)．The high—frequency components were ignored，while the low—frequency components
can be obtained．Then．the liner discriminant features were extracted by 2DLDA，and”one VS rest”。strategy of SVMs for
muhiclass classification was chosen to perform face recognition． Experimental results based on ORL f Olivetti Research
Laboratory1 face database and Yale face database show the validity of 2DLDA+SVM algorithm for face recogn ition．
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Size: 236544 |
Author: 费富里 |
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Description: 发表在IEEED，用HMM做信号的小波去噪和检测的论文，引用率非常高-Wavelet-Based Statistical Signal Processing
Using Hidden Markov Models
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Size: 410624 |
Author: Michael |
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Description: 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8 种算法的去噪性能 对于
后者,按照分割类型(监督式或非监督式) 和应用的图像类型系统比较了以统计模型为基础建立的15 种图像分割
方法. 最后,从面向应用的模型构造和算法设计、变换域的拓展和应用层次的推广三个层面指出了目前存在的问题
和不足,探讨了进一步的研究重点- Multiscale t ransform2domain hidden Markov model s ( HMM’s) , a class of new statisti2
cal approaches to image perception and recognition , can effectively characterize the inter scale , in2
t rascale and cross2orientation correlations of t he coefficient s in different multiscale t ransform do2
mains. Wit h t he statistical characterization of t he coefficient s in t ransform domains t he center and
t he design of various statistical model s and t he development of a variety of applications two
wings , t hree classes of statistical characteristics and their mechanisms of discrete wavelet t rans2
form of an image are analyzed in dept h , ten statistical model s in multiscale t ransform domains are
st udied comparatively , and t he state2of 2t he2art of multiscale t ransform2domain statistical model s
in image perception , processing and analysis is systematically reviewed. Two types of successf ul
applications in this research domain are discussed in detail , i. e. , image de
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Size: 1001472 |
Author: 周二牛 |
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Description: HMM与小波神经网络的语音识别系统研究，此系统得到了验证-HMM and wavelet neural network speech recognition system, this system has been verified
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Size: 281600 |
Author: 斯芸芸 |
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Description: 小波分析与隐马尔可夫模型在图像处理中的应用.这篇论文很经典的。小波和马尔科夫的结合。-Wavelet Analysis and Hidden Markov Model in Image Processing. This paper is a classic. The combination of wavelet and Markov.
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Size: 935936 |
Author: whg |
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Description: 小波声音的去噪的实现，里面有测试文件，还有HMM的声音识别源码-Wavelet denoising realize voice, with a test document, and HMM voice recognition source code
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Size: 10671104 |
Author: jiki |
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Description: Hidden Markov modelling of contourlet transforms for art authentication
Bayesian robust hidden Markov model
Hidden Markov Models for Molecular Motors
When wavelet meet HMM
Hidden Markov Tree model of Contourlet Transform
EM for HMM Multivariate Gaussian processes
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Size: 957440 |
Author: amin |
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Description: 小波包分析提取振动信号中的特征频率，可以提取一幅图中想要的目标，完整的基于HMM的语音识别系统。- Wavelet packet analysis to extract vibration signal characteristic frequency, Target can be extracted in a picture you want, Complete HMM-based speech recognition system.
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Size: 6144 |
Author: feiqun |
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Description: 鲁棒性好，性能优越，完整的基于HMM的语音识别系统，基于小波变换的数字水印算法matlab代码。- Robustness, superior performance, Complete HMM-based speech recognition system, Based on wavelet transform digital watermarking algorithm matlab code.
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Size: 5120 |
Author: 王国红 |
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Description: 小波包分析提取振动信号中的特征频率，完整的基于HMM的语音识别系统，通过反复训练模板能有较高的识别率。- Wavelet packet analysis to extract vibration signal characteristic frequency, Complete HMM-based speech recognition system, Through repeated training yQnfuphlate have higher recognition rate.
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Size: 6144 |
Author: bingjeifaoqan |
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Description: 包括广义互相关函数GCC时延估计，采用了小波去噪的思想，完整的基于HMM的语音识别系统。- Including the generalized cross-correlation function GCC time delay estimation, Using wavelet denoising thought, Complete HMM-based speech recognition system.
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Size: 5120 |
Author: qansailai |
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Description: 完整的基于HMM的语音识别系统，采用累计贡献率的方法，关于小波的matlab复合分析。- Complete HMM-based speech recognition system, The method of cumulative contribution rate Matlab wavelet analysis on complex.
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Size: 6144 |
Author: tiegieloubao |
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Description: 完整的基于HMM的语音识别系统，关于小波的matlab复合分析，相参脉冲串复调制信号。- Complete HMM-based speech recognition system, Matlab wavelet analysis on complex, Complex modulation coherent pulse train signal.
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Size: 6144 |
Author: gunsenbengen |
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Description: 采用了小波去噪的思想，完整的基于HMM的语音识别系统，实现了对10个数字音的识别程。- Using wavelet denoising thought, Complete HMM-based speech recognition system, Realization of 10 digital audio recognition progra.
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Size: 8192 |
Author: hxybdq |
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