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Description: 使用隐马尔可夫模型在小波域降噪处理运行环境Matlab-use of hidden Markov model in wavelet domain noise reduction processing operating environment Matlab
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Size: 1712552 |
Author: 冯斌 |
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Description: ％ PIEFLAB Main Directory
％ ----------------------
％
％ .m - files
％ ----------
％ Contents.m : this file
％ startup.m : startup file: sets Matlab path executed automatically when
％ Matlab command is performed in this directory
％
％ subdirectories
％ --------------
％ General/ : general matlab commands
％ MRF/ : Markov Random Field: Bayesian algorithm for images
％ Noise/ : noise generation, density/distribution functions
％ Tests/
％ Threshold/ : threshold procedures (includes threshold assessment)
％ WT/ : Wavelet Transform routines
％ Poisson/ : Poisson intensity estimation routines
％ Copyright (c) Maarten Jansen
％ K.U.Leuven - Flanders (Belgium)
％
％ This software is part of PiefLab and is copyrighted material. More info on
％ copyright policy is available on:
％ www.cs.kuleuven.ac.be/~maarten/software/
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Size: 114265 |
Author: 汪伟 |
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Description: 使用隐马尔可夫模型在小波域降噪处理运行环境Matlab-use of hidden Markov model in wavelet domain noise reduction processing operating environment Matlab
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Size: 1712128 |
Author: 冯斌 |
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Description: ％ PIEFLAB Main Directory
％ ----------------------
％
％ .m - files
％ ----------
％ Contents.m : this file
％ startup.m : startup file: sets Matlab path executed automatically when
％ Matlab command is performed in this directory
％
％ subdirectories
％ --------------
％ General/ : general matlab commands
％ MRF/ : Markov Random Field: Bayesian algorithm for images
％ Noise/ : noise generation, density/distribution functions
％ Tests/
％ Threshold/ : threshold procedures (includes threshold assessment)
％ WT/ : Wavelet Transform routines
％ Poisson/ : Poisson intensity estimation routines
％ Copyright (c) Maarten Jansen
％ K.U.Leuven - Flanders (Belgium)
％
％ This software is part of PiefLab and is copyrighted material. More info on
％ copyright policy is available on:
％ www.cs.kuleuven.ac.be/~maarten/software/- PIEFLAB Main Directory----------------------. M- files---------- Contents.m: this file startup.m: startup file: sets Matlab path executed automatically when Matlab command is performed in this directory subdirectories-------------- General /: general matlab commands MRF /: Markov Random Field: Bayesian algorithm for images Noise /: noise generation, density/distribution functions Tests/Threshold /: threshold procedures (includes threshold assessment) WT /: Wavelet Transform routines Poisson /: Poisson intensity estimation routines Copyright (c) Maarten Jansen KULeuven- Flanders (Belgium) This software is part of PiefLab and is copyrighted material. More info on copyright policy is available on: www.cs.kuleuven.ac.be/ ~ maarten/software /
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Size: 113664 |
Author: 汪伟 |
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Description: 结合马尔可夫过程，提出一种概率论的声源定位算法，并给出了基于DSP的机器人实现。其中声源定位部分采用三个麦克风呈三角形放置，为减小由于噪声等引起的TDOA估计误差，采用马尔可夫过程计算时延，这样计算的时延会更可靠。该方案中的声源定位也属于一维定位，即只需知道声源的方向角-Combination of Markov process, a probability theory of sound source location algorithm, and give the robot based on the DSP implementation. Sound Source Localization in part one of the three microphones were used to place the triangle, in order to reduce the noise caused because of the TDOA estimation error, calculated using Markov process time delay, such delay will be calculated more reliable. The program of the sound source location is also a one-dimensional positioning, that is, only need to know the direction of the sound source angle
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Size: 871424 |
Author: chen |
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Description: 基于小波域隐马尔可夫模型的图像降噪，性能最好的图像降噪程序。
-Based on wavelet-domain Hidden Markov Model of image noise, the performance of the best image noise reduction procedures.
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Size: 1403904 |
Author: 蒲秀娟 |
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Description: 本文详细噪声补偿的隐马尔可夫模型，并指出了它在信号处理中的应用，对未来提出了展望。-In this paper, the noise compensation for hidden Markov model, and pointed out that its signal processing applications, the outlook for the future.
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Size: 128000 |
Author: 徐厚杰 |
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Description: This thesis relates to the design, implementation and evaluation of statis¬ tical face recognition techniques. In particular, the use of Hidden Markov Models in various forms is investigated as a recognition tool and critically evaluated. Current face recognition techniques are very dependent on issues like background noise, lighting and position of key features (ie. the eyes, lips etc.). Using an approach which specifically uses an embedded Hidden Markov Model along with spectral domain feature extraction techniques, shows that these dependencies may be lessened while high recognition rates are maintained.
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Size: 1726464 |
Author: ivan |
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Description: 隐马尔科夫异常声音识别程序，无噪声情况下训练后可识别-Hidden Markov abnormal voice recognition program, no noise can be identified under training
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Size: 585728 |
Author: yangyuan |
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Description: 针对合成孔径雷达(SAR) 图像含有大量斑点噪声的特点,基于Contourlet 的多尺度、局部化、方向性和各向
异性等优点,并结合隐马尔科夫树( HMT) 模型和隐马尔科夫场(MRF) ,提出了一种基于Contourlet 域持续性和聚
集性的SAR 图像模糊融合分割算法。该算法有效捕获了Contourlet 子带的持续性和聚集性,并分别用HMT 和
MRF 来刻画,再依据模糊测度,将多尺度HMT 和MRF 有机融合,建立Contourlet 域HMT2MRF 融合模型,并导
出新模型下的最大后验概率(MAP) 分割公式。对实测SAR 图像进行了仿真,仿真结果和分析表明:与小波域上的
HMT2MRF 融合分割及Contourlet 域上HMT 和MRF 分割算法相比,该算法在抑制斑点噪声的同时,有效地提高
了SAR 图像的分割精度- In view of the speckle noise in the synthetic aperture radar (SAR) images , and based on the Contourlet′s
advantages of multiscale , localization , directionality , and anisot ropy , a new SAR image fusion segmentation
algorithm based on the pe rsis tence and clustering in the Contourlet domain is p roposed. The algorithm captures the
pe rsis tence and clus tering of the Contourlet t ransform , which is modeled by hidden Markov t ree (HMT) and Markov
random field (MRF) , respectively. Then , these two models are fused by fuzzy logic , resulting in a Contourlet
domain HMT2MRF fusion model . Finally , the maximum a poste rior (MAP) segmentation equation for the new fusion
model is deduced. The algorithm is used to emulate the real SAR images . Simulation results and analysis indicate that
the p roposed algorithm effectively reduces the influence of multiplicative speckle noise , imp roves the segmentation
accuracy and p rovides a bet te r visual quality for SAR images ove r the
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Size: 897024 |
Author: 周二牛 |
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Description: 本文件中包含的代码是使用Bayesian compressive sensing 理论对图像降噪，修复的程序-his package includes 4 folders. Folder toydata contains core code and demo of the original BRPCA Model Folder MarkovDependency contains core code and demos of the modified BRPCA Model with Markov dependency employed Folder NonstationaryNoise contains core code and demos of the modified BRPCA Model with Markov dependency employed and the noise variances are different from contuguous frames. Folder Videodata contains the video data used by the experiment.
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Size: 3621888 |
Author: 王蒙 |
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Description: 这是一篇用于图片处理的程序，涉及到用马尔科夫场处理含高斯白噪声的图像-This is a program for image processing, involves the use of Markov Field on the image with Gaussian white noise
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Size: 1024 |
Author: lida |
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Description: to remove noise of images using markov-3 mode
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Size: 387072 |
Author: fvgbb |
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Description: 马尔科夫随机场去除噪声，比较先进的去除噪声的方法，在处理时间上大大缩短，并且能得到很好的效果-Markov Random Field to delete noise image process
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Size: 23552 |
Author: 王建 |
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Description: 针对含噪图像增强问题, 提出一种基于小波域三状态隐马尔可夫树模型的方法 -For noise image enhancement problems, and puts forward three state based on wavelet domain hidden markov tree model method
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Size: 2174976 |
Author: 刘璐 |
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Description: Most recent approaches have posed texture synthesis in a
statistical setting as a problem of sampling from a probability
distribution. Zhu et. al. [12] model texture as a Markov
Random Field and use Gibbs sampling for synthesis. Unfortunately,
Gibbs sampling is notoriously slow and in fact
it is not possible to assess when it has converged. Heeger
and Bergen [6] try to coerce a random noise image.
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Size: 107520 |
Author: maulik |
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Description: 一阶马尔可夫过程，由白噪声生成有色噪声，希望有帮助！-First order markov process, the colored noise generated by white noise, hope to have help!
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Size: 1024 |
Author: 忘了 |
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Description: 该程序在matlab平台下编写，是基于隐马尔可夫树模型的小波去噪-This program is used to remove the image noise by hidden Markov tree
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Size: 1024 |
Author: 依然 |
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Description: 交互多模滤波器 利用马尔科夫链对多种测量模型分别进行卡尔曼滤波 并利用转移概率对滤波结果进行加权 适用于机动目标跟踪和低空多径噪声下的高度测量-IMM filter Markov chain model for a variety of measurements were Kalman filter and using the filtered result of the transition probability weighting applicable at low altitude maneuver target tracking and multipath noise height measurements
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Size: 3072 |
Author: sosozxy |
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Description: 这是一种基于近红外光谱的非线性建模方法及系统，从各所述近红外光谱数据随机挑出一部分作为校正集，挑出一部分作为验证集；将所述校正集和所述验证集通过主成分分析得到光谱特征空间；在所述光谱特征空间中，通过马氏距离法选取所述校正集里与所述验证集的各个样本最近似的样本作为校正子集；从所述校正子集中提取主成分数，作为BP神经网络的输入层建立回归模型，不仅能解决各因素之间多重相关的问题，还避免了大量的噪声和一些无用的信息，降低了变量维数，在BP神经网络的非线性映射能力和适应学习能力的基础上，提高了模型的预测稳定性和精度。-This is a kind of nonlinear modeling method and system based on near infrared spectrum, described the near infrared spectrum data randomly selected part as calibrating, pick out the part as a validation set Will be described in the calibration set and described in the validation set is obtained by principal component analysis (spectral feature space It is spectral feature space, the selection method described by markov distance calibration set and validation set described in each sample with the sample as the calibration subsets Principal components extracted calibration described subset, as BP neural network input layer to establish a regression model, not only can solve the problem of multiple correlation among various factors, also avoid a lot of noise and some useless information, reducing the variable dimension, the nonlinear mapping ability of BP neural network and adaptive learning ability, on the basis of improve stability and accuracy of the prediction of the model.
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Size: 2048 |
Author: 詹映 |
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