片语

Vector-Quantization Texture Compression向量纹理压缩

context dependent vector quantization语境相关矢量量化

LVQ Lattice Vector Quantization点阵矢量量化

standard vector quantization标準矢量量化

vector quantization encoding矢量量化编码

learning vector quantization学习矢量化

Random Vector Quantization随机向量量化

VQTC Vector-Quantization Texture Compression向量纹理压缩

英汉例句

• vector quantization (vq) is one of the popular codebook design methods for text-independent speaker identification. the key problem of vq is the design of codebook.

  矢量量化（vq）方法是文本无关说话人识别中广泛应用的建模方法之一，它的主要问题是码本设计问题。

• at first, it quantizes the image coefficient vector gotten from dwt with the lattice vector quantization technology, then imbeds the watermark signal into the coefficient.

  该算法先通过格矢量量化技术对经dwt变换后的宿主图像的系数矢量进行格矢量量化，然后将水印信号嵌入到量化后的系数中。

• through the discussion of vector quantization parameter's choice, the result that for medium vocabulary speech recognition, the codebook capacity should be 64 or 128 is made.

  通过矢量量化参数选取的讨论，得到对于中等词汇量的语言识别，矢量量化的码本大小应为64或128的结论。

• genetic algorithm and vector quantization technique are combined to constitute speaker identification model, and then genetic neural network is used for recognition.

  将遗传算法和矢量量化技术结合建立说话人模型，然后利用遗传神经网络进行识别。

• vector quantization is an effective data compression technology.

  矢量量化是一种有效的数据压缩技术。

• mlsofm, a vector quantization method with multi-layer self-organization feature mapping, is presented in this paper.

  本文提出了一种采用多层自组织特征映射mlsofm实现矢量量化的方法。

• a new and simple compression algorithm based on the vector quantization is put forward by analyzing of traditional algorithm.

  通过对传统方法的优缺点分析，提出了一种新的简单的矢量量化压缩方法。

• in image vector quantization (vq), the computing complexity of the classical full search algorithm increases by exponential law with vector dimension and bit rate of quantization.

  在图像矢量量化中，完全搜索算法的计算复杂度随矢量的维数与量化比特率呈指数规律递增。

• a finite-state vector quantization correlated encoding (fsvq-cec) strategy is presented in this paper.

  本文提出了有限状态矢量量化相关编码方案。

• the realization of data clustering is also the process of vector quantization of image compress.

  在实现数据聚类的同时，达到对图像矢量量化压缩的目的。

• 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。

• firstly, three kinds of general compression algorithms for hyper-spectral images are presented, which are transform compression, vector quantization and prediction compression algorithms.

  首先介绍了针对超光谱图像的一般压缩算法，分别是变换压缩技术、矢量量化技术和预测编码技术三种。

• 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。

• 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。

• in this paper, a new competitive learning algorithm based on equidistortion principle for vector quantization (vq) design was proposed.

  本文基于等误差準则提出了一种适用于矢量量化技术的新型码书设计算法。