An Efficient Algorithm by Kurtosis Maximization in Reference-Based Framework
Alternativní metriky PlumXhttp://hdl.handle.net/11012/41857
MetadataZobrazit celý záznam
This paper deals with the optimization of kurtosis for complex-valued signals in the independent component analysis (ICA) framework, where source signals are linearly and instantaneously mixed. Inspired by the recently proposed reference-based contrast schemes, a similar contrast function is put forward, based on which a new fast fixed-point (FastICA) algorithm is proposed. The new optimization method is similar in spirit to the former classical kurtosis-based FastICA algorithm but differs in the fact that it is much more efficient than the latter in terms of computational speed, which is significantly striking with large number of samples. The performance of this new algorithm is confirmed through computer simulations.
Zdrojový dokumentRadioengineering. 2015 vol. 24, č. 2, s. 544-551. ISSN 1210-2512
- 2015/2