DocumentCode :
3611956
Title :
Approximate affine linear relationship between L1 norm objective functional values and L2 norm constraint bounds
Author :
Zhijing Yang ; Bingo Wing-Kuen Ling ; Bingham, Chris
Author_Institution :
Sch. of Inf. Eng., Guangdong Univ. of Technol., Guangzhou, China
Volume :
9
Issue :
9
fYear :
2015
Firstpage :
670
Lastpage :
680
Abstract :
For an optimisation problem with an L1 norm objective function subject to an L2 norm inequality constraint, this study shows that there is an approximately linear relationship between the L1 norm objective functional values and the L2 norm specifications. This relationship is verified through the use of random and real world industrial data. The obtained results can be employed for (i) estimating the L1 norm objective functional value without solving the optimisation problem numerically; (ii) providing an insight for defining the L2 norm specification in which a simple method is proposed in this study; and (iii) testing whether the obtained solutions are the globally optimal solutions or not. These advantages are demonstrated via the use of random data.
Keywords :
compressed sensing; linear programming; signal representation; L1 norm objective functional value; L2 norm constraint bound; approximate affine linear relationship; optimisation problem; sparse signal representation;
fLanguage :
English
Journal_Title :
Signal Processing, IET
Publisher :
iet
ISSN :
1751-9675
Type :
jour
DOI :
10.1049/iet-spr.2014.0402
Filename :
7348910
Link To Document :
بازگشت