vector quantization

基本解釋

In this paper, a new scheme of vector quantization is described to reduce the effect of error propagation.
為了降低誤差積累的影響，本文提出了一種新型的矢量量化方法。
A new and simple compression algorithm based on the vector quantization is put forward by analyzing of traditional algorithm.
通過(guò)對(duì)傳統(tǒng)方法的優(yōu)缺點(diǎn)分析，提出了一種新的簡(jiǎn)單的矢量量化壓縮方法。
Through the discussion of vector quantization parameter's choice, the result that for medium vocabulary speech recognition, the codebook capacity should be 64 or 128 is made.
通過(guò)矢量量化參數(shù)選取的討論，得到對(duì)于中等詞匯量的語(yǔ)言識(shí)別，矢量量化的碼本大小應(yīng)為64或128的結(jié)論。

Vector -Quantization Texture Compression 向量紋理壓縮
VQTC Vector -Quantization Texture Compression 向量紋理壓縮
learning vector quantization 學(xué)習(xí)矢量量化;學(xué)習(xí)向量量化;學(xué)習(xí)式向量量化;學(xué)習(xí)向量量化法
LVQ Lattice Vector Quantization 點(diǎn)陣矢量量化
Random Vector Quantization 隨機(jī)向量量化

矢量量化
Information hiding algorithms based on vector quantization have developed in recent years.
基于矢量量化的信息隱藏技術(shù)是近幾年發(fā)展起來(lái)的一種新的信息隱藏技術(shù)。
矢量化編碼
向量量化

矢量量化
A predictive multistage vector quantization design is presented.
提出了一種線譜對(duì)參數(shù)預(yù)測(cè)多級(jí)矢量量化聯(lián)合優(yōu)化算法。
向量量化