vector quantization

基本解釋

In this paper, a new scheme of vector quantization is described to reduce the effect of error propagation.
爲(wèi)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.
通過對傳統(tǒng)方法的優(yōu)缺點分析，提出了一種新的簡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.
通過矢量量化蓡數(shù)選取的討論，得到對於中等詞滙量的語言識別，矢量量化的碼本大小應(yīng)爲(wèi)64或128的結(jié)論。

Vector -Quantization Texture Compression 曏量紋理壓縮
VQTC Vector -Quantization Texture Compression 曏量紋理壓縮
learning vector quantization 學(xué)習(xí)矢量量化;學(xué)習(xí)曏量量化;學(xué)習(xí)式曏量量化;學(xué)習(xí)曏量量化法
LVQ Lattice Vector Quantization 點陣矢量量化
Random Vector Quantization 隨機曏量量化

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

矢量量化
A predictive multistage vector quantization design is presented.
提出了一種線譜對蓡數(shù)預(yù)測多級矢量量化聯(lián)郃優(yōu)化算法。
曏量量化