A Method Based on L-bfgs to Solve Constrained Complex-valued Ica

Anh H. T. Nguyen; V. G. Reju; Andy W. H. Khong

ICASSP 2019accepted0 citations

A Method Based on L-bfgs to Solve Constrained Complex-valued Ica

Anh H. T. Nguyen, V. G. Reju, Andy W. H. Khong

Abstract

Complex-valued independent component analysis (ICA) is a celebrated method in blind separation of complex-valued signals. In this paper, we propose to transform the constrained optimization problems of complex-valued ICA into unconstrained optimization problems which can be solved by limited-memory Broyden-Fletcher-Goldfarb-Shanno update (L-BFGS). As opposed to previous approaches, the proposed method does not apply any restriction on the Hessian matrix of ICA cost function. It can separate mixed sub-Gaussian, super-Gaussian, circular, and non-circular sources. Simulations show promising results.

BibTeX

@inproceedings{icassp2019_amethodbasedonlb,
  title = {A Method Based on L-bfgs to Solve Constrained Complex-valued Ica},
  author = {Anh H. T. Nguyen and V. G. Reju and Andy W. H. Khong},
  booktitle = {ICASSP 2019},
  year = {2019}
}