TY - GEN
T1 - A sparsity-based design of regularization parameter for adaptive proximal forward-backward splitting algorithm
AU - Yukawa, Masahiro
AU - Tawara, Yuta
AU - Sasaki, Shigenobu
AU - Yamada, Isao
PY - 2013/1/1
Y1 - 2013/1/1
N2 - In this paper, a novel regularization-parameter design for the adaptive proximal forward-backward splitting algorithm is proposed for sparse system identification. The regularization parameter is controlled adaptively based on sparsity of an estimated unknown system. The regularizer is designed by approximating an p quasi-norm (0 < p < 1) linearly. Numerical examples show that the proposed algorithm is robust to the variation of the system sparsity.
AB - In this paper, a novel regularization-parameter design for the adaptive proximal forward-backward splitting algorithm is proposed for sparse system identification. The regularization parameter is controlled adaptively based on sparsity of an estimated unknown system. The regularizer is designed by approximating an p quasi-norm (0 < p < 1) linearly. Numerical examples show that the proposed algorithm is robust to the variation of the system sparsity.
UR - http://www.scopus.com/inward/record.url?scp=84903191169&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84903191169&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84903191169
SN - 9783800735297
T3 - Proceedings of the International Symposium on Wireless Communication Systems
SP - 190
EP - 193
BT - 10th International Symposium on Wireless Communication Systems 2013, ISWCS 2013
PB - IEEE Computer Society
T2 - 10th IEEE International Symposium on Wireless Communication Systems 2013, ISWCS 2013
Y2 - 27 August 2013 through 30 August 2013
ER -