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geometric vector quantization
相关语句
  几何矢量量化
     In order to decrease the complexity,some classes of geometric vector quantization suitable to some special source are presented. Those are elliptical vector quantization(EVQ) based on the Gaussian source and pyramid vector quantization(PVQ) based on the Laplacian source.
     为了减小复杂度 ,本文给出几种适用于特定信源的几何矢量量化方法 :如适用于高斯信源的椭球矢量量化(EVQ) ,适用于拉普拉斯信源的棱锥矢量量化 (PVQ)。
短句来源
     Finally,a more useful geometric vector quantization method is presented,which is called scalar vector quantization(SVQ).
     最后 ,针对几何分布不规则的一般信源 ,给出一般的几何矢量量化方法———标量矢量量化(SVQ)。
短句来源
  相似匹配句对
     A Geometric Property of Vector Fields on R~n
     R上向量场的一个几何性质
短句来源
     Geometric Methods for Support Vector Machines
     支持向量机的几何解法(英文)
     A Geometric Method of Vector Quantization
     矢量量化的几何方法
短句来源
     Vector Supercomputers
     向量超大型计算机
短句来源
     basic vector.
     basic载体中,经测序鉴定插入序列的正确性。
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In this paper, we'11 describe a scheme of a complete real-time image collecting system, which is based on 3-D wavelete transform (WT) In order to save time. 3-D WT. in actual processing, is transferred to FFT. We use ADPCM for the data in the lowest frequency band and a new form of vector quantization ( geometric vector quantization) for the data in the higher frequency bands. We also make use of human eye' s specific property, and give a new form of formula to replace MMSE. Finally we give a complete...

In this paper, we'11 describe a scheme of a complete real-time image collecting system, which is based on 3-D wavelete transform (WT) In order to save time. 3-D WT. in actual processing, is transferred to FFT. We use ADPCM for the data in the lowest frequency band and a new form of vector quantization ( geometric vector quantization) for the data in the higher frequency bands. We also make use of human eye' s specific property, and give a new form of formula to replace MMSE. Finally we give a complete real-time collecting frame to show time required to process data.

本文提出了一个完整的基于三维小波变换的实时图像采集系统的方案。其中,三维小波变换在运算中转换为成熟的FFT进行计算,以节省时间。对分解后的低频域采用ADPCM的量化法,其中基于开关预测器的系数,用查表法自适应地选取。而对高频域的信号采用VQ(几何矢量)量化法。在模板匹配上,不用传统的均方误差最小法作为匹配准则。然后,给出了一个实用而完整的实时图像采集系统框图。该系统选用新型的80960CA芯片作为系统核心。最后,以表格形式列出采集图像时系统各部分所需的时间。

Vector quantization is a very important method of data compression.The complexity of the clustering algorithm,which is the most popular VQ design technique,grows exponentially with the product of the encoding rate and vector dimention.In order to decrease the complexity,some classes of geometric vector quantization suitable to some special source are presented.Those are elliptical vector quantization(EVQ) based on the Gaussian source and pyramid vector quantization(PVQ) based on...

Vector quantization is a very important method of data compression.The complexity of the clustering algorithm,which is the most popular VQ design technique,grows exponentially with the product of the encoding rate and vector dimention.In order to decrease the complexity,some classes of geometric vector quantization suitable to some special source are presented.Those are elliptical vector quantization(EVQ) based on the Gaussian source and pyramid vector quantization(PVQ) based on the Laplacian source.Finally,a more useful geometric vector quantization method is presented,which is called scalar vector quantization(SVQ).

矢量量化是一种非常重要的数据压缩技术。其应用最多的聚类算法复杂度随着码率和维数的乘积指数增长。为了减小复杂度 ,本文给出几种适用于特定信源的几何矢量量化方法 :如适用于高斯信源的椭球矢量量化(EVQ) ,适用于拉普拉斯信源的棱锥矢量量化 (PVQ)。最后 ,针对几何分布不规则的一般信源 ,给出一般的几何矢量量化方法———标量矢量量化(SVQ)。

 
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