Menguc, Engin CemalPeker, MuratCinar, Salim2024-11-072024-11-072018978-1-5386-1501-02165-0608https://hdl.handle.net/11480/1379726th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 02-05, 2018 -- Izmir, TURKEYSince some of the real world problems include phase and amplitude information, complex modeling is more suitable. In this study, the well-used particle swarm optimization, simulated annealing and genetic algorithm are designed in a split form in order to process complex-valued signals. The performances of the algorithms are comparatively tested on two different system identification problems for different noise levels. Simulation results show that the split complex-valued metaheuristic algorithms produce results which are almost close to the weights of both unknown systems.trinfo:eu-repo/semantics/closedAccessSplit Complex-valued Metaheuristic AlgorithmsComplex-valued SignalsSystem IdentificationConference ObjectWOS:000511448500624N/A