An ICA and EC based approach for blind equalization and channel parameter estimation
This paper proposes a new on-line blind equalization scheme that combines an over-sampling technique with a linear independent component analysis neural network. The channel coefficients are estimated by using a genetic algorithm and equalized outputs. This algorithm does not require a learning sequence.
scientific article; zbMATH DE number 1570535