TY - GEN
T1 - A fixed-point algorithm for nonnegative independent component analysis
AU - Shi, Zhenwei
AU - Tan, Xueyan
AU - Zhu, Zhanxing
AU - Jiang, Zhiguo
PY - 2009
Y1 - 2009
N2 - This paper proposes a fixed-point algorithm for nonnegative independent component analysis, based on the mutual independency of source signals and 'nonpositive 'parts of source signals. The algorithm is computationally simple, provides fast convergence and does not need choose any learning step sizes. Simulations by independent source signals which are nonnegative and well grounded verify the efficient implementation of the proposed method.
AB - This paper proposes a fixed-point algorithm for nonnegative independent component analysis, based on the mutual independency of source signals and 'nonpositive 'parts of source signals. The algorithm is computationally simple, provides fast convergence and does not need choose any learning step sizes. Simulations by independent source signals which are nonnegative and well grounded verify the efficient implementation of the proposed method.
KW - Blind source separation (BSS)
KW - Fixed-point algorithm
KW - Independent component analysis (ICA)
KW - Nonnegative independent component analysis
UR - https://www.scopus.com/pages/publications/77950612697
U2 - 10.1109/ICNC.2009.329
DO - 10.1109/ICNC.2009.329
M3 - 会议稿件
AN - SCOPUS:77950612697
SN - 9780769537368
T3 - 5th International Conference on Natural Computation, ICNC 2009
SP - 482
EP - 485
BT - 5th International Conference on Natural Computation, ICNC 2009
PB - IEEE Computer Society
T2 - 5th International Conference on Natural Computation, ICNC 2009
Y2 - 14 August 2009 through 16 August 2009
ER -