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The Generalized Complex Kernel Least-Mean-Square Algorithm
Also, the flexibility of the proposed generalized approach is tested in a second experiment with non-independent real and imaginary parts.
Complex-Valued Kernel Methods for Regression
Usually, complex-valued RKHS are presented as an straightforward application of the real-valued case.
Complex-Valued Gaussian Processes for Regression
In the experiments included, we show how CGPR successfully solve systems where real and imaginary parts are correlated.
Proper Complex Gaussian Processes for Regression
A proper complex random variable or process is uncorrelated with its complex conjugate.
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