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vector quantization
Traducere "vector quantization" în chineză
矢量量化
向量量化
Wavelet transform and vector quantization both are important tools of modern image coding.
小波变换和矢量量化都是现代图像编码领域的重要工具。
It is a form of vector quantization compression.
它是矢量量化壓縮的一種形式。
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。
In this paper, a vector quantization algorithm based on biorthogonal wavelet transform is put forward.
该文提出了一种基于双正交小波的矢量量化编码方法。
The learning vector quantization neural network has been integrated successfully with the case-based reasoning approach to reduce the case indexing space and to enhance the indexing efficiency.
将学习矢量量化神经网络集成在基于实例推理的故障诊断方法中，减小了实例搜索空间，提高了实例检索效率。
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。
To meet the demand, based on 2-D wavelet transform, this paper proposes a lossy compression method using band grouping and vector quantization.
为了对高光谱图像进行有效压缩，在2维小波变换的基础上，提出了一种分组矢量量化的高光谱图像有损压缩方案。
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。
The SOM module employs a vector quantization method that places a set of vectors on a low-dimensional grid in an ordered fashion.
SOM的模块使用，在一个有序的方式放置一组向量上的低维网格中的矢量量化方法。
The experiments indicate that speaker recognition based on Dempster-Shafter evidence theory has better effect than speaker recognition based on vector quantization.
仿真实验证明使用D-S证据理论对说话人的识别比使用矢量量化有更好的识别效果。
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。
Vector quantization (VQ) is a popular lossy compression scheme widely used in multimedia data compressions.
矢量量化是一种常用有损压缩技术，被广泛地应用于多媒体数据压缩。
Vector Quantization (VQ) is one of the popular codebook design methods for text-independent speaker identification.
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。
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