Complex Valued Nonlinear Adaptive Filters: Noncircularity, Widely Linear and Neural Models

By Danilo P. Mandic, V. Goh. 2009

579 citations recorded by the source corpus.

Subfields: Computational Mechanics

View Paper: https://www.semanticscholar.org/paper/8bd227a16d9fd41dcfc6782f974363f34c553483

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In Computational Mechanics

1. Naveed Urr Rehman
2. Lajos Hanzo
3. Shaoshi Yang
4. Danilo P. Mandic

Citations in the corpus

• Multivariate empirical mode decomposition (2010, background): “…as The stoppage criterion for multivariate IMFs is similar to that proposed by Huang et al. (2003), the difference being that the condition for equality of the number of extrema and zero crossings is not imposed, as extrema cannot be properly defined for multivariate signals (Mandic & Goh 2009).”
• Fifty Years of MIMO Detection: The Road to Large-Scale MIMOs (2015, background): “Finally, we emphasize that if the complex-valued random signals considered are improper or noncircular, the more advanced complex-valued signal processing techniques of [301]–[303] that rely on additional statistics and tools for fully characterizing the complex-valued random signals have to be used”