VQ, 即Vector Quantization,矢量量化,在多个场景下使用,如图像压缩,声音压缩,语音识别等。 什么是VQ? Vector quantizer(矢量量化器)将矢量空间Rk中的 k 维矢量映射到矢量的有限集合Y={yi:i=1,2,...,N}。 每个向量yi称为code vector(代码向量)或codeword(码字)。 所有码字的集合称为codebook(码本)。 与每...
电脑名词译名 ... vector quantization 向量量化vector quantizer 向量量化器vector register 向量暂存器 ... www.iicm.org.tw|基于7个网页 2. 矢量量化器 ... 4. abbr. vector-quantization; 矢量量化 5. abbr.vector quantizer;矢量量化器6. abbr. virtual queuing; 虚队列 ... ...
VectorQuantize(dim=2, codebook_size=6) quantized, indices, loss = quantizer(a) print('quantized', quantized) print('indices', indices) print('loss', loss) 输入为一个三维张量,(1,3,2),它的最后一维必须和VectorQuantize初始化中的dim一致。 codebook_size指定了codebook的大小,所有的vector最终会quan...
网络矢量量化 网络释义 1. 矢量量化 ... 6. abbr. virtual queuing; 虚队列 4. abbr.vector-quantization;矢量量化5. abbr. vector quantizer; 矢量量化器 ... danci.911cha.com|基于 1 个网页 释义: 全部,矢量量化
2) Vector quantizer 向量量化器 3) vectorization [,vektəri'zeiʃən] 向量化 1. The vectorization programming method in Matlab is studied by two examples. 通过两个示例,研究了Matlab编程的向量化方法,并且与一般的编程方法进行比较,发现向量化编程确实很简单。 2. At present,non-multimedia ...
This VSELP speech coder using a single or multi-segment vector quantizer based on a given array technology (FLAT) of the reflection coefficient. 此外,这个语音编码器使用预量化器来减小搜索的复杂性,使用高分辨标量量化器来减小所需要的存贮总量. In addition, this speech coder uses a pre-quantizer to...
GumbelVQ是一种采用Gumbel-Softmax方法进行向量量化的技术。与传统的Vector Quantizer(VQ)相比,GumbelVQ在...
This paper proposes to use multiple vector quantizers to recursively quantize the residuals of the waveform. You can use this with the ResidualVQ class and one extra initialization parameter. import torch from vector_quantize_pytorch import ResidualVQ residual_vq = ResidualVQ( dim = 256, num_quan...
Find vector quantizer codeword that corresponds to zero-based index value expand all in page Libraries: DSP System Toolbox / Quantizers Description The Vector Quantizer Decoder block associates each input index value with a codeword, expressed as a column vector of quantized output values defined...
[42] Eyal Yair, Kenneth Zeger, and Allen Gersho. Competitive learning and soft competition for vector quantizer design. IEEE transactions on Signal Processing, 40(2):294–309, 1992. [43] Aojun Zhou, Anbang Yao, Yiwen Guo, Lin Xu, and Yurong Chen. Incremental network quantization: Towards ...