@ARTICLE{ iet:/content/journals/10.1049/iet-com.2011.0764, author = {H.-D. Han}, author = {Z. Ding}, keywords = {digital communication systems;stochastic gradient descent-based adaptive schemes;steepest descent algorithm implementation;packet-based data transmission;multichannel equalisation;multichannel blind signal recovery;signal subspace constraint;source separation;}, ISSN = {1751-8628}, language = {English}, abstract = {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.}, title = {Steepest descent algorithm implementation for multichannel blind signal recovery}, journal = {IET Communications}, issue = {18}, volume = {6}, year = {2012}, month = {December}, pages = {3196-3203(7)}, publisher ={Institution of Engineering and Technology}, copyright = {© The Institution of Engineering and Technology}, url = {https://digital-library.theiet.org/;jsessionid=7952i4sok6543.x-iet-live-01content/journals/10.1049/iet-com.2011.0764} }