A Neural-Network-Based Channel-Equalization Strategy for Chaos-Based Communication Systems
نویسندگان
چکیده
This brief addresses the channel-distortion problem and proposes a technique for channel equalization in chaos-based communication systems. The proposed equalization is realized by a modified recurrent neural network incorporating a specific training (equalizing) algorithm.
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