Compared with previous BSS methods, QSMA-BSS has a wider applications range, more stable performance, and higher precision.

Plort of this cute yellow slime can create technology that converges the. The simulation results show that QSMA-BSS is superior to the traditional methods. Given their unique abilities, Quantum Slimes can be the most difficult to manage. Using their lure they can stun chickens, which is useful for their meat-centric diet and eating their favorite food, Sea Hens. The proposed method is called BSS based on QSMA (QSMA-BSS). Angler Slimes are a new addition in Slime Rancher 2 and were previously only seen in the depths of the Slime Sea, but can now be seen popping up on the coastline of Rainbow Island. Meanwhile, combining quantum computation theory with slime mould algorithm (SMA), quantum slime mould algorithm (QSMA) is proposed and QSMA is used to solve the hybrid optimization objective function. A hybrid optimization objective function is designed based on the two independence criteria to achieve more effective and robust BSS. Based on dual-parameter variable tailing (DPVT) transformation function, moving average filtering (MAF), and median filtering (MF), a filtering system that can achieve noise suppression in an impulse noise environment is proposed, noted as MAF-DPVT-MF. Abstract : In order to resolve engineering problems that the performance of the traditional blind source separation (BSS) methods deteriorates or even becomes invalid when the unknown source signals are interfered by impulse noise with a low signal-to-noise ratio (SNR), a more effective and robust BSS method is proposed.

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