RT Journal Article
A1 H.-D. Han
A1 Z. Ding

PB iet
T1 Steepest descent algorithm implementation for multichannel blind signal recovery
JN IET Communications
VO 6
IS 18
SP 3196
OP 3203
AB In the literature, there exists a number of blind signal recovery algorithms that are implemented as stochastic gradient descent (SGD)-based adaptive schemes. SGD typically has low complexity at the expense of slower convergence. On the other hand, packet-based data transmission in many practical digital communication systems makes it attractive to develop steepest descent (SD) implementation in order to speed-up convergence. This work aims at developing SD implementation of several well-known blind signal recovery algorithms for multi-channel equalisation and source separation. The authors SD formulation is more amenable to additional parametric and signal subspace constraint for faster convergence and superior performance.
K1 digital communication systems
K1 stochastic gradient descent-based adaptive schemes
K1 steepest descent algorithm implementation
K1 packet-based data transmission
K1 multichannel equalisation
K1 multichannel blind signal recovery
K1 signal subspace constraint
K1 source separation
DO https://doi.org/10.1049/iet-com.2011.0764
UL https://digital-library.theiet.org/;jsessionid=1pb48j6fkxe8o.x-iet-live-01content/journals/10.1049/iet-com.2011.0764
LA English
SN 1751-8628
YR 2012
OL EN