Discrete Reconstruction Alphabets in Discrete Memoryless Source Rate-Distortion Problems

被引：0
|
作者：
Sungkar, Mustafa [1 ]
Berger, Toby [1 ]
机构：
[1] Univ Virginia, Sch Elect & Comp Engn, Charlottesville, VA 22904 USA
来源：
2018 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT) | 2018年
基金：
美国国家科学基金会;
关键词：
Rate-disortion theory; discrete memoryless source; optimization; discrete random variable; sparse solution; CAPACITY;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We show two discrete memoryless source (DMS) rate-distortion (R-D) problems with continuous alphabets where the optimal reconstruction distributions are discrete. The first problem is a Gaussian distributed source with square error distortion but a peak-limited reconstruction alphabet. The second is a source distribution related to the generalized inverse Gaussian (GIG) distribution with a certain distortion measure.
引用
收藏
页码：116 / 120
页数：5
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