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Description: 用LBG（Linde,Buzo,Gray)算法训练码本，说道这三个人，对这有研究的人就很清楚了，为什么要20个字呢-with LBG (Linde, Buzo, Gray) algorithm codes the training, said that three individuals, this study is the very clear why it should be 20 characters?
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Size: 17107 |
Author: liu |
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Description: 用LBG（Linde,Buzo,Gray)算法训练码本，说道这三个人，对这有研究的人就很清楚了，为什么要20个字呢-with LBG (Linde, Buzo, Gray) algorithm codes the training, said that three individuals, this study is the very clear why it should be 20 characters?
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Size: 16384 |
Author: liu |
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Description: Linde, Buzo, and Gray (LBG) proposed a VQ design algorithm based on a training sequence. The use of a training sequence bypasses the need for multi-dimensional integration. The LBG algorithm is of iterative type and in each iteration a large set of vectors, generally referred to as training set, is needed to be processed. Usually, vectors sampled from a group of typical signals to be encoded altogether construct a training set T={x1,x 2,?.x M} ,where xi represents a sampled training vector and M represents the size of training set which is far greater than the codebook size N.
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Size: 87040 |
Author: 龙鹏 |
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Description: VQLBG Vector quantization using the Linde-Buzo-Gray algorithm
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Size: 1024 |
Author: gaurav |
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Description: Matlab矢量量化图像压缩程序
矢量量化VQ，是一个常见的压缩技术。Linde, Buzo, and Gray 提出了基于
训练序列的Vector Quantization (VQ)算法。-Matlab vector quantization image compression procedures for vector quantization VQ, is a common compression technology. Linde, Buzo, and Gray proposed based on training sequence of Vector Quantization (VQ) algorithm.
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Size: 47104 |
Author: adu |
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Description: Matlab矢量量化图像压缩程序
矢量量化VQ，是一个常见的压缩技术。Linde, Buzo, and Gray 提出了基于
训练序列的Vector Quantization (VQ)算法。-Matlab vector quantization image compression procedures for vector quantization VQ, is a common compression technology. Linde, Buzo, and Gray proposed based on training sequence of Vector Quantization (VQ) algorithm.
Platform: |
Size: 47104 |
Author: adu |
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Description: speaker recognition.In 1980, Linde, Buzo, and Gray (LBG) proposed a VQ design algorithm based on a training sequence. The use of a training sequence bypasses the need for multi-dimensional integration. A VQ that is designed using this algorithm are referred to in the literature as an LBG-VQ.
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Size: 2380800 |
Author: arun |
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Description: The paper presents new clustering algorithm. The
proposed algorithm gives less distortion as compared to well
known Linde Buzo Gray (LBG) algorithm and Kekre’s
Proportionate Error (KPE) Algorithm. Constant error is added
every time to split the clusters in LBG, resulting in formation of
cluster in one direction which is 1350 in 2-dimensional case.
Because of this reason clustering is inefficient resulting in high
MSE in LBG.
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Size: 15360 |
Author: noufal |
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