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.
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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