TY - JOUR
A2 - Zhang, Yin
AU - Huang, Jingwen
AU - Sun, Jianshan
PY - 2018
DA - 2018/03/18
TI - Sampling Adaptive Learning Algorithm for Mobile Blind Source Separation
SP - 5048419
VL - 2018
AB - Learning rate plays an important role in separating a set of mixed signals through the training of an unmixing matrix, to recover an approximation of the source signals in blind source separation (BSS). To improve the algorithm in speed and exactness, a sampling adaptive learning algorithm is proposed to calculate the adaptive learning rate in a sampling way. The connection for the sampled optimal points is described through a smoothing equation. The simulation result shows that the performance of the proposed algorithm has similar Mean Square Error (MSE) to that of adaptive learning algorithm but is less time consuming.
SN - 1530-8669
UR - https://doi.org/10.1155/2018/5048419
DO - 10.1155/2018/5048419
JF - Wireless Communications and Mobile Computing
PB - Hindawi
KW -
ER -