.png){kind=icon}
返回
Generalized scalar quantizer design using dynamic programming
.png){kind=icon}
PRE
AI
DOI：10.1109/97.755427.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We cast the design of generalized scalar quantizers as a dynamic programming problem. The algorithm enables the design of discrete nonparametric estimators directly from training data and has the advantage of admitting a variety of constraints on the estimator mapping. The utility of the algorithm is illustrated with the design of rate-distortion performance predictors for a video coder.
Keyword:
dynamic programming
estimation
nonlinear estimation
quantization
source coding
vector quantization
video coding
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
9.6
论文数:
1.1W
被引数:
1.7W
机构
暂无机构信息
引用论文
.png){kind=icon}
分享收藏
An improved method for determining bimolecular association constants from NMR titration experiments
PREAI
分享收藏 没有更多内容
没有更多内容