• LBG algorithm is a classical algorithm for vector quantization.

    LBG算法是矢量量化码书设计的经典算法。

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  • So this paper USES MSSVQ as the vector quantization technique for coding.

    因此本文使用MSSVQ作为矢量量化技术来进行编码。

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  • Then the codebook that is generated by vector quantization is blocked and encrypted;

    然后对矢量量化形成的码书分块加密;

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  • The application of neural network vector quantization in speech encoding is discussed.

    讨论了在语音编码中,应用神经网络技术进行矢量量化的算法。

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  • A fast algorithm of encoding and codebook designing for vector quantization is proposed.

    提出了一种矢量量化码书设计及编码的快速算法。

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  • As one method of image lossy compression vector quantization has great compression ratio.

    作为图像有损压缩的方法之一,矢量量化的压缩比极大。

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  • This method is based on the techniques of block truncation coding and vector quantization.

    该方法是以分块截断编码技术和矢量量化技术为基础的编码方法。

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  • A fast search algorithm was developed to reduce the computing load for vector quantization.

    为了进一步降低矢量量化的运算量,提出了一种新的快速搜索算法。

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  • This paper presents a new strategy of particle-pair(PP) for vector quantization(VQ) in image coding.

    本文给出了一种新的图像矢量量化码书的优化设计方法——粒子对算法。

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  • Codebook design algorithms based on tabu search (TS) approach are presented for vector quantization (VQ).

    本文提出了基于改进禁止搜索(TS)算法的矢量量化(VQ)码书设计方法。

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  • In this paper, a new scheme of vector quantization is described to reduce the effect of error propagation.

    为了降低误差积累的影响,本文提出了一种新型的矢量量化方法。

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  • In this paper, an image encryption algorithm based on chaotic mapping and vector quantization is presented.

    提出了混沌映射与矢量码书相结合的加密算法。

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  • This paper presents a small target infrared image compression scheme based on classified vector quantization.

    本文提出了一种基于分类矢量量化器的小目标红外图像的压缩方法。

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  • LBG vector quantization algorithm is used to create codebook traditionally, but the sequence is not in order.

    用LBG算法产生的码书,码书中的码向量在码书中的排列是无序的。

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  • Self-organizing neural network is a very efficient method for pattern recognition and vector quantization(VQ).

    为有效提高矢量量化码书的性能和学习效率,需进一步改进自组织神经网络的学习算法。

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  • A speaker recognition method based on improved FCM clustering with vector quantization is introduced in this paper.

    提出了一种将改进的FCM聚类算法与矢量量化相结合的说话人识别的方法。

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  • The methods for both color quantization and color spatial vector quantization using palette are studied in this paper.

    本文研究了用调色板技术进行色彩量化和彩色空间量化的方法。

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  • A codebook design method for a switched dual predictive multi stage vector quantization (DPMSVQ) scheme of LPC parameters.

    提出了语音谱参数的切换双预测多级矢量量化算法(DPMSVQ)的码本设计方法。

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  • 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)。

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  • In this paper, an improved treestructured vector quantization algorithm, based on treestructured quantization is introduced.

    本文在研究树形矢量量化的基础上提出了一种改进的树形矢量量化编码算法。

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  • Several new algorithms of fuzzy C-mean clustering with the combination of vector quantization are proposed for speaker identification.

    该文提出了一种将模糊C -均值聚类法的各种改进算法与矢量量化法相结合的说话人辨认的新方法。

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  • Experimental results illustrate this model is superior to the rate-distortion model in pyramidal dead zone lattice vector quantization.

    实验结果表明该模型优于带有死区的塔式格型矢量量化中的比特率失真模型。

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  • A new approach which exploits the distribution properties of speech signal for vector quantization of speech signal is proposed in the paper.

    本文提出了一种利用语音信号分布特性的矢量量化方法。

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  • Two kinds of information carrying schemes for vector quantization are designed, and the experimental results of different cases are compared.

    针对向量量化这种常用的图象压缩方法,设计了两类信息搭载方案,并对参数取值的不同情况进行了实验比较。

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  • The availability of improved split vector quantization algorithms is validated from the objective index and the subjective index, respectively.

    分别从客观评价和主观评价两方面来验证提出的分维矢量量化算法的有效性。

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  • This paper presents a codebook design method of an enhanced dual predictive multi-stage vector quantization (EDPMSVQ) scheme for LPC parameters.

    文章提出了语音谱参数的增强双预测多级矢量量化算法(EDPMSVQ)的码本设计方法。

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  • Then, we study the precoding for space multiplexing MIMO-OFDM systems. Here, we propose an interpolation-based vector quantization precoding scheme.

    然后,研究了空间复用MIMO - OFDM系统的预编码,提出了一种基于插值的矢量量化预编码方案。

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  • As another application of feature signature, multi-signature based duplicate image detecting method improved the mapping and encoding during vector quantization.

    作为特征签名在重复图像检测方面的应用,基于多特征签名的重复图像检测方法改进了矢量量化过程中的编码映射方式。

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  • Finally, in split vector quantization based on LCT research, split vector quantization is adopted to quantize LCT transform coefficients and to design the codebook.

    最后,在基于局部余弦变换的分维矢量量化的研究中,对LCT变换系数采用分维矢量量化的方式进行码书设计。

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  • Finally, in split vector quantization based on LCT research, split vector quantization is adopted to quantize LCT transform coefficients and to design the codebook.

    最后,在基于局部余弦变换的分维矢量量化的研究中,对LCT变换系数采用分维矢量量化的方式进行码书设计。

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