Implementation of l1 Magic and One bit Compressed Sensing based on Linear Programming Using Excel

被引：1
|
作者：
Indukala, P. K. [1 ]
Lakshmi, K. [1 ]
Sowmya, V [1 ]
Soman, K. P. [1 ]
机构：
[1] Amrita Vishwa Vidyapeetham, Ctr Excellence Computat Engn & Networking, Amrita Sch Engn, Coimbatore 641112, Tamil Nadu, India
来源：
2012 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING AND COMMUNICATIONS (ICACC) | 2012年
关键词：
Compressed sensing; l(1) Magic; One bit Compressed sensing; Linear Programming; Excel;
D O I：
10.1109/ICACC.2012.67
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Compressed sensing helps in the reconstruction of sparse or compressible signals from small number of measurements. The sparse representation has great importance in modern signal processing. The main objective is to provide a strong understanding of the concept behind the theory of compressed sensing by using the key ideas from linear algebra. In this paper, the concept of compressed sensing is explained through an experiment formulated based on linear programming and solved using l(1) magic and One bit compressed sensing methods in Excel.
引用
收藏
页码：69 / 72
页数：4
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