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Ankara Yıldırım Beyazıt University
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KANs outperform MLPs in FTN BPSK detection, achieving 18.6 times lower bit error rates with drastically fewer parameters.
A Kolmogorov-Arnold Network with learnable B-spline activations outperforms a Multi-Layer Perceptron by 44% in cumulative drift error while using 6.9 times fewer parameters.
