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Description: codebook高级背景建模的例程，很好的学习资料-codebook high background modeling routines, good learning materials
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Size: 3072 |
Author: nsionlo |
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Description: 使用Splitting算法和GLA算法实现对图像的矢量量化及重新编码和重建。-Vector Quantization:To generate a 16-codeword codebook using Splitting Algorithm and GLA,then use this codebook to code the training image and reconstuct it.
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Size: 2048 |
Author: RoyTao |
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Description: 语音信号处理教材中，如何训练码书，从这段程序中可以简单地看出-Speech signal processing textbooks, how to train codebook, can simply be seen from this program
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Size: 1024 |
Author: 贾伟 |
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Description: 矢量量化的码字搜索和码本建立方面的论文，自己搜的一些文章，希望对大家有用-Codeword vector quantization codebook search and establish papers
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Author: zhangyujiao |
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Description: mfcc用于求取训练样本的特征值，其需要melbankm和enframe两个程序。
enframe用于将语音分帧，melbankm用于产生mel三角滤波器组，vqlbg用于获取说话人码书，disteu程序用于计算两个矩阵间的距离，-mfcc strike eigenvalues for the training sample, which requires melbankm and enframe two procedures. enframe for the voice of the frame, melbankm used to produce the triangular mel filter bank, vqlbg codebook is used to get people talking, disteu procedures used to calculate the distance between two matrices,
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Size: 4096 |
Author: 赵岩 |
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Description: 声纹识别的实现，里面包含一些声纹的数据，用的的12Mel频谱倒谱系数，然后应用的是模糊K均值举了你算法构成的码本，识别在小样本情况下非常高-Voiceprint identification of implementation, which contains some of the voiceprint data, with the 12Mel spectrum Cepstral, and then apply the fuzzy K-means algorithm you gave codebook constructed, identify small samples is very high
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Size: 5815296 |
Author: 1111name |
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Description: 标准的codebook源码，，根据codebook论文编写，
网络上大多是简化版
给出一个标准版供各位研究学习-Standard codebook source, according to the written codebook papers, mostly on the network given a simplified version of the standard version for you research study
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Size: 4096 |
Author: chenpengfe |
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Description: Codebook model 视频抠像 xp sp3 + vs2005 + OpenCV 2.3.1-For a more detailed explanation of a “codebook” model refer to [reference: Gary Bradski and Adrian Kaehler: Learning
Opencv, September 2008: First Edition. p. 278].
During the application of the “codebook” model we train it using the first 5 frames of the video record. Such
low number of training frames is enough, because the background environment practically does not change during the
whole video sequence (the image of the background scene with a foreground human silhouette can be seen in Figure
2.2.1).
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Size: 136192 |
Author: 2279657041 |
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Description: 利用SOM神经网络设计矢量量化的码书，结果优于传统的LBG方法，失真度较小。-SOM neural network design use vector quantization codebook, the result is better than traditional methods LBG, distortion is small.
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Size: 418816 |
Author: Sun |
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Description: 背景分离码本建模法，在静态背景下检测运动物体，并提供了一段监控视频以供测试-Background Modeling and Subtraction by Codebook Construction. Supply a video for testing.
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Size: 2928640 |
Author: 张帆 |
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Description: 基于OPENCV的码本模型 可以把背景和前景区分 比较少见的资料 希望对大家有帮助-Can distinguish between background and foreground relatively rare OPENCV codebook based data model we want to help
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Size: 3749888 |
Author: 撒的副 |
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Description: HH_codebook3--- --8码本Texas Instruments
HH_codebook4--------16 码本 3GPP
DFT_codebook--------DFT码本
main_criterion-------------选码性能比较
main_hchg-----------信道变化速度对性能的影响
main_delay----------反馈时延影响-HH_codebook3-------- 8 codebook Texas Instruments
HH_codebook4-------- 16 codebook Texas Instruments
HH_codebook4-------- 16 codebook 3GPP
DFT_codebook-------- DFT codebook
main_criterion------------- Performance Comparison election code
impact main_hchg----------- channel change speed on performance
main_delay---------- feedback delay impact
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Size: 6144 |
Author: li hua |
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Description: ：基于背景建模的运动目标分割是智能视频监控的重要任务，模型的质量直接影响到检测、跟踪、识别等运动分析的准确性．当前的建模方法多是单层的，忽略了像素特征在时域和空域上的联系，模型描述不够准确，对于背景扰动、全局光照变化及复杂的室内外场景等多种情况鲁棒性不强，导致了分割中出现空洞和噪声点．针对这些问题提出了一种双层建模的方法，在第一层提取时域上的像素亮度特征采用码本建模，第二层提取邻域纹理特征采用基于中心对称的局部二值模式建模．实验证明该方法在用于运动分割时，比常用方法具有更好的准确性和鲁棒性．-Moving object segmentation based on background modeling is an important task of intelligent video surveillance, quality models directly affects the detection, tracking, recognition accuracy motion analysis. The current modeling methods are mostly single, ignoring the characteristics of pixels on the temporal and spatial linkages, model description is not accurate enough, the background disturbances, global illumination changes and complex indoor and outdoor scenes and other conditions are not robust strong, leading to a hollow-point division and noise appear. To solve these problems presents a double-modeling method, the pixel brightness feature extraction using time domain modeling codebook in the first layer, the second layer of texture feature extraction using neighborhood center symmetric local binary pattern based construction mode. Experiments show that the method used for motion segmentation when compared with the conventional method has better accuracy and robustness.
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Description: 混合高斯(Mixture of Gaussian, MOG) 背景建模算法和Codebook 背景建模算法被广泛应用于监控视频的运动目标检测问题, 但混合高斯的球体模型通常假设RGB 三个分量是独立的, Codebook 的圆柱体模型假设背景像素值在圆柱体内均匀分布且背景亮度值变化方向指向坐标原点, 这些假设使得模型对背景的描述能力下降. 本文提出了一种椭球体背景模型, 该模型克服了混合高斯球体模型和Codebook 圆柱体模型假设的局限性, 同时利用主成分分析(Principal components analysis, PCA) 方法来刻画椭球体背景模型, 提出了一种基于主成分分析的Codebook 背景建模算法. 实验表明, 本文算法不仅能够更准确地描述背景像素值在RGB 空间中的分布特征, 而且具有良好的鲁棒性.-The background modeling algorithm of mixture of Gaussian (MOG) and codebook is widely used in moving
object detection of surveillance video. However, the ball model of MOG usually assumes that the three components of
RGB are independent, while the cylinder model of codebook assumes that the value of background pixel is distributed
uniformly within the cylinder and the changing direction of brightness points to the origin of the coordinate system.
These assumptions reduce the descriptive capability for background modeling. Therefore, the paper proposes an ellipsoid-
based background model, which overcomes the MOG and codebook0s limitations. By using principal component analysis
to depict the ellipsoid background model, a novel PCA-based codebook background modeling algorithm is proposed.
Experiments show that this algorithm can not only give more accurate description of the distribution of background pixels
but also have a better robustness.
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Size: 3881984 |
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Description: This is universal codebook generator with LBG algorithm by DVE C.
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Size: 10240 |
Author: eofper |
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Description: 与在空间域上通过适当信号处理来分离多用户相比，下行多用户多输入多输出（MU-MIMO）传输技术因其显著增加系统容量的潜力近来已经得到广泛关注。令人遗憾的是，这些技术需要准确的信道状态信息保证其正常运行。然而在实践中，由于在FDD系统中反馈信道的有限容量导致精确的CSIT是难以获得的。本文研究的系统采用MU-MIMO下行链路传输中的分解有限反馈。特别是，支持能够处理用户间干扰的方案的必不可少的信息是确定的，根据把残余的用户间干扰功率最大限度地减小来设计最佳的码本。模拟结果表明，一般的有限反馈对通过MU-MIMO分解变速器获得的交互信号有显著的影响。-Abstract — Downlink multi-user multiple-input multiple-output
(MU-MIMO) transmission techniques have gained much attention
recently because of their potential to significantly increase system
capacity compared to single-user transmission by separating
multiple users in the space domain through appropriate signal
processing. Unfortunately, these techniques require accurate
channel state information at the transmitter (CSIT) for their
proper operation. In practice however perfect CSIT is hard to
obtain due to capacity-limited feedback channel in FDD systems
for example. In this paper we investigate systems employing
MU-MIMO decomposition transmission in the downlink with
limited feedback. In particular, the essential information that
enables the scheme to deal with inter-user interference is
identified and the optimal codebook design in terms of minimizing
the residual inter-user interference power is derived. Simulation
results show that in general limited feedback has a
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Size: 1024 |
Author: 何静 |
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Description: A forensic method to detect image forgery by codebook generation
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Size: 1014784 |
Author: Raksha Shetty |
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Description: 建立高级背景模型，实时更新新的像素点，在训练前景的过程中删除经常不被访问的码本-Senior background model, real-time update new pixels, in the process of training prospects often access code of the delete
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Size: 5120 |
Author: huixi |
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Description: Generates a Huffman codebook for a specified set of symbol probabilities
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Size: 2048 |
Author: empapad |
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Description: Learn ADO.NET using C# by example. The E-Book is basically a compilation of practical ADO.NET codes that will let get you started in C# database programming fast. It s not a beginners book and it assumes that you have already done some basic programming in C#. The codes were compiled from the books that I read while I was learning ADO.NET years ago.
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