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Learning classifier systems traditionally use genetic algorithms to facilitate rule discovery, where rule fitness is payoff based. Current research has shifted to the use of accuracy-based fitness. This paper re-examines the use of a particular payoff-based learning classifier system—ZCS. By using simple difference equation models of ZCS, we show that
Larry, Bull, Jacob, Hurst
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Parallelized generation of ZC/ZC-DFT sequences in vector DSP
2015 IEEE Wireless Communications and Networking Conference (WCNC), 2015A parallelized generation of Zadoff-Chu (ZC) and the Discrete Fourier Transform of Zadoff-Chu (ZC-DFT) sequences is proposed. In this algorithm, the sampling operation is completely eliminated for the ZC-DFT sequences generation. Implemented on a vector Digital Signal Processor (DSP), the proposed algorithm makes an efficient use of the parallel DSP ...
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Comprehensive Interference Analysis for ZC-NOMA
2023In order to realize the integration of communication and navigation on LEO, a new waveform named ZC-NOMA was proposed in the previous study, which was proved to achieve reliable navigation function without significantly affecting the communication performance.
Mingyi Wang, Yifan Ping, Gongliang Liu
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