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Identification of Widely Linear Systems Using Data-Dependent Superimposed Training.
Israel A. Arriaga-Trejo
Aldo G. Orozco-Lugo
Antonio Baltazar-Raigosa
Published in:
IEEE Signal Process. Lett. (2022)
Keyphrases
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data dependent
linear systems
sufficient conditions
dynamical systems
sparse linear systems
rademacher complexity
training set
coefficient matrix
risk bounds
interior point methods
neural network
reproducing kernel hilbert space
reinforcement learning
optimal solution
data distribution
energy functional