vector quantization中文是什么意思

• [网络] 向量量化；矢量量化；矢量化编码

• hvq hierarchical vector quantization    分层矢量量化
• lvq lattice vector quantization    点阵矢量量化
• lvq learning vector quantization    学习向量量化
• vq vector quantization    矢量量化，纹理压缩（加速芯片的功能）; 纹理压缩
• vqc vector quantization code    矢量量子化代码
• quantization    分层量子化把连续量转换为数字; 量化 在每个象素处，将图像的局部特性赋予一个灰度集合中的元素的过程。数字图象处理技术词汇表; 量化 在每一个像素处，将图像的局部特性赋予一个灰度集合中的元素的过程; 量化,分层,量子化; 量子化,量化(把连续量变为数字量),整量化; 量子化；数字化；分层; 量子化作用；分层; 取离散值
• adaptive quantization    自适应量化
• amplitude quantization    振幅量化
• binary quantization    二进制量化
• canonical quantization    二次量子化; 正则量子化
• charge quantization    电荷量子化
• conductance quantization    电导量子化
• differential quantization    差分量化
• digital quantization    数字量子化,数字量化
• dirac quantization    狄拉克量子化; 狄喇克量子化
• directional quantization    方向量子化
• field quantization    场量子化
• first quantization    一次量子化
• flux quantization    磁通量量子化
• geometric quantization    几何量子化
• imaging quantization    影像量化
• macroscopic quantization    宏观量子化
• measures of quantization    量化测量
• nonuniform quantization    非均匀量化
• phase quantization    相位量化

• In order to encode the parameters of sinusoidal model, the vector quantization techniques for amplitude parameters and the differential quantization for frequency parameters are proposed and discussed . at the same time, the frequency bin model, the random phase model and the zero phase model are also discussed
  针对正弦模型参数的量化编码，提出了幅度参数矢量量化、频率参数差分量化等方法，并探讨了频率盒量化模型以及随机相位和零相位模型等。
• For the objective of effective network defenses of malicious flows, this dissertation focused the deep researches of detection and control for the malicious flows, including the followings : to detect the malicious flows, the dissertation proposed the network anomaly detection approach based on the vector quantization ( vq )
  本文以实现对恶意数据流的有效防御控制为目标,着重对网络恶意数据流的检测与控制等关键技术进行深入的研究,主要包括以下四个方面:对网络恶意数据流进行准确的检测发现是恶意数据流防御的必要手段。论文首先提出了一种基于矢量量化的网络异常检测方法用于恶意数据流的检测。
• In the paper, chapter 1 gives a comprehensive introduction of digital image compressing including its recent status, technical standards, classification in the world . chapter 2 introduces briefly the thought and ii procedure of vector quantization, describes lgb algorithm and vector quantization based on sofm neural network . chapter 3 discusses predictable coding in lossy and lossless aspects, analyzes adaptive predictable coding based on bp neural network, introduces the evaluation of algorithm on neural network in image compression . chapter 4 discusses the applications of mathematical transformation in image compression and does experiments related, analyzes the strategies of image coding in transformed domain . in chapter 5 images are decomposed and represented by wavelet transform, then discusses the characteristics and effects of wavelet functions in image compression, analyzes the wavelet coefficients after images are decomposed; based on the theories and analyses in the prior chapters, the paper presents an image compression scheme and gives results . the test results shows that the image compression scheme is practical and helpful to map into the local content of images to get rid off redundancy, so that, it can require satisfactory results of image compression
  方案首先利用小波多分辨分析性质，对图像进行小波分解，对分解后各子图的小波系数进行了统计分析，针对各子图的小波系数特点，对不同的子图分别采用不同的压缩方法，低频子图采用基于神经网络的自适应预测编码，高频子图采用基于神经网络的矢量量化编码，从而实现对图像数据的压缩处理。本论文第一章介绍了数字图像压缩处理的国内外当前的概况以及其技术标准和分类。在第二章，介绍了数字图像的矢量量化技术的数学思想和过程，对lbg算法和基于sofm神经网络的矢量量化进行了阐述、分析。
• In the paper, chapter 1 gives a comprehensive introduction of digital image compressing including its recent status, technical standards, classification in the world . chapter 2 introduces briefly the thought and ii procedure of vector quantization, describes lgb algorithm and vector quantization based on sofm neural network . chapter 3 discusses predictable coding in lossy and lossless aspects, analyzes adaptive predictable coding based on bp neural network, introduces the evaluation of algorithm on neural network in image compression . chapter 4 discusses the applications of mathematical transformation in image compression and does experiments related, analyzes the strategies of image coding in transformed domain . in chapter 5 images are decomposed and represented by wavelet transform, then discusses the characteristics and effects of wavelet functions in image compression, analyzes the wavelet coefficients after images are decomposed; based on the theories and analyses in the prior chapters, the paper presents an image compression scheme and gives results . the test results shows that the image compression scheme is practical and helpful to map into the local content of images to get rid off redundancy, so that, it can require satisfactory results of image compression
  方案首先利用小波多分辨分析性质，对图像进行小波分解，对分解后各子图的小波系数进行了统计分析，针对各子图的小波系数特点，对不同的子图分别采用不同的压缩方法，低频子图采用基于神经网络的自适应预测编码，高频子图采用基于神经网络的矢量量化编码，从而实现对图像数据的压缩处理。本论文第一章介绍了数字图像压缩处理的国内外当前的概况以及其技术标准和分类。在第二章，介绍了数字图像的矢量量化技术的数学思想和过程，对lbg算法和基于sofm神经网络的矢量量化进行了阐述、分析。
• Through anatomizing ezw coding algorithm and taking the effects of human being ’ s vision characteristics on quality of reconstituting image . a improved zeretrees algorithm are put forward . at last a new image compression encoding algorithm based on wavelet transform and vector quantization is put forward . the experiment show, in very low bit rate, using the proposed algorithm, the reconstructed image is superior to that of ezw in both of perception and psnr
  最后,在小波树的基础上,通过对矢量量化的研究,本文提出了一种基于四叉树结构新的小波树矢量量化压缩编码算法,实验证明,在较高压缩比的情况下,使用此方法得到的重构图象质量(视觉效果和峰值信噪比)比通常的小波压缩算法有了较大的提高。
• In addition, the properties and extraction methods of some common feature parameters are studied in detail . in particular, two kinds of representative features, linear prediction cepstrum coefficient ( lpcc ) and mel-frequency cepstrum coefficient ( mfcc ), are analyzed and researched on experimentation of vector quantization in text-independent speaker recognition . then, the performances of lpcc and mfcc are compared respectively on computer platform
  此外,我们在说话人识别试验中对常见的语音特征参数进行了研究,主要研究了线性预测倒谱(lpcc)、美尔倒谱(mfcc)等参数,并且分别基于计算机平台试验比较了lpcc和mfcc参数的识别效果。
• Three commixed still image coding algorithms are proposed based on them and such ideas as : zerotree coding, wmse ( which is based on mankind visual characteristics ), classified vector quantization with different vector structures and classification methods . the chapter gives the principium analysis, realization schemes and simulation results of the proposed algorithms
  在此基础上，结合零树编码思想，以及基于人眼视觉特性和分类矢量量化的思想，根据不同的矢量构成和分类方法提出了三种混合型静止图像编码方法，给出了算法原理的分析、实现方案和仿真结果，最后对本章方法作出分析总结。
• In this dissertation, lots of exploratory research work has been done around some key techniques of image retrieval based on compressed-domain, which include based on discrete cosine transform ( dct ), based on vector quantization ( vq ) combine with low-level feature extraction, similarity measure and so on
  本论文围绕压缩域图象检索中的一些关键方法，包括基于离散余弦变换和基于矢量量化等方法联合提取图象低层特征、图象间相似性度的度量等技术，进行了一些探索性的研究。
• In the thesis, we select the mel-frequency cepstrum coefficients based on analyzing a lot of parameters of speech signal . mel cepstrum is of better recognition and anti-noise capability . ( 2 ) dynamic time warping, vector quantization, hidden markov model and artificial neural network can be used in speaker recognition
  (2)现有的说话人识别方法有动态时间规整法、矢量量化法、隐马尔可夫模型和神经网络法等，其中hmm已成为目前最佳的说话人识别处理模型。
• Then it is possible to realize high compression ratio of images . in this paper the principle of which wavelet transform can be used in images compression is discussed on basis of statistics and analysis of image's wavelet coefficients after wavelet decomposition . also some kinds of quantify and coding schemes are discussed including scalar quantization, vector quantization, embedded zerotree wavelets encodings run length coding, huffman coding and so on
  论文对图像经分解后的小波系数进行统计与分析，阐述了小波变换所以能够用于图像压缩的道理，并在此基础上讨论了多种量化和编码方案的设计与实现，包括标量量化、矢量量化、嵌入小波零树编码、行程编码、哈夫曼编码等，其中对jpeg2000采用的标量量化和嵌入小波零树编码作了重点讨论和分析。

• vector quantizationとは意味：ベクトル量子化｛りょうしか｝