1) double vector quantization
双矢量量化
1.
A two-level-architecture recognition method combining double vector quantization (VQ) and support vector machines (SVM) was proposed, which could improve the recognition rate.
本文详细介绍了语音信号预处理、语音增强和特征提取的方法,提出了双矢量量化(VQ)与支持向量机(SVM)相融合的说话人识别算法。
2) vector quantization(VQ)
矢量量化
1.
To overcome problems of steel water continuous casting slag detection system(SWCC-SDS),such as high cost and equipment inconvenience,a new SDS based on vector quantization(VQ) technology was put forward.
针对当前钢水连铸下渣检测系统(SWCC-SDS)成本高、难于安装等问题,提出了一种基于矢量量化(VQ)技术的钢水下渣检测方法。
2.
An integral projection algorithm for Vector Quantization(VQ) is proposed in this paper,integral projection is used in every 4×4 block firstly,and then carry on vector quantity with the integral codebook.
提出了一种积分投影和矢量量化(VQ)相结合的图像压缩算法,将图像的每一个4×4分块先进行积分投影,然后再与积分投影后的码书进行量化匹配,大大减少运算量和码书存储面积,而图像的质量只有轻微损失。
3.
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。
3) vector quantification
矢量量化
1.
Design of vector quantification codebook;
矢量量化编码的码书设计研究
2.
A Fast Vector Quantification Image Coding Scheme Based on Wavelet Transform;
基于小波变换的快速矢量量化(VQ)编码
3.
The algorithm is based on a sinusoidally excited linear prediction model and uses multi frame joint vector quantification, multi band mixing excitation, sub band voicing strength parameter prediction, and adaptive spectral enhancement to obtain high quality synthetic speech with a low bit rate.
此算法基于线性预测正弦激励模型 ,在极低码率下获得高质量的合成语音 ,提出清浊音定位和量化方法 ,应用了多帧参数联合矢量量化技术 ,以及多带正弦混合激励、谱增强等技术。
4) vector quantization (VQ)
矢量量化
1.
A novel method based on vector quantization (VQ) technology is introduced to realize partial discharge (PD) pattern recognition.
利用绝缘试品在升、降压过程中放电量随电压变化构成的视在放电量–施加电压模式序列作为局部放电特征量,并将矢量量化和快速匹配算法引入局部放电模式识别的研究中。
5) VQ
矢量量化
1.
Research on VQ-Based Digital Image Watermarking;
基于矢量量化的数字图像水印技术研究
2.
Improved Fuzzy VQ Algorithm in Speech Emotion Recognition;
模糊矢量量化在语音情感识别中的应用
3.
Research on the Speaker Recognition Based on VQ and GMM;
利用矢量量化（VQ）和混合高斯模型（GMM）的说话人识别的研究
6) vector quantization
矢量量化
1.
A new fuzzy vector quantization algorithm;
一种新的模糊矢量量化算法
2.
Fast search algorithm for vector quantization based on the weighted squared error;
加权平方误差测度下的快速矢量量化算法
3.
Image sorting vector quantization method based on mixed neural network;
基于混合神经网络的图像分类矢量量化方法
补充资料：2,2-双氯甲基-三亚甲基-双[双(2-氯乙基)磷酸脂]
CAS：38051-10-4
分子式：C13H24Cl6O8P2
中文名称：2,2-双氯甲基-三亚甲基-双[双(2-氯乙基)磷酸脂]
英文名称：2,2- bis(chloromethyl)-trimethylene bis[bis(2-chloroethyl)phosphate]
phosphoric acid, 2,2-bis(chloromethyl)-1,3-propanediyl tetrakis(2-chloroethyl)
2,2-bis(chloromethyl)trimethylene bis(bis(2-chloroethyl)phosphate)
2,2-bis(chloromethyl)-1,3-propanediyltetrakis(2-chloroethyl)phosphate
分子式：C13H24Cl6O8P2
中文名称：2,2-双氯甲基-三亚甲基-双[双(2-氯乙基)磷酸脂]
英文名称：2,2- bis(chloromethyl)-trimethylene bis[bis(2-chloroethyl)phosphate]
phosphoric acid, 2,2-bis(chloromethyl)-1,3-propanediyl tetrakis(2-chloroethyl)
2,2-bis(chloromethyl)trimethylene bis(bis(2-chloroethyl)phosphate)
2,2-bis(chloromethyl)-1,3-propanediyltetrakis(2-chloroethyl)phosphate
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条