Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , a new gradient optimized blind source separation algorithm (GOA) which aims at improving the convergence performance is proposed. This algorithm modifies the gradient of cost function to make the iteration process of separation matrix closer to its change pattern. To be more specific, by adding the difference value beten current time gradient and previous time gradient to the adaptive iterations of separation matrix, the proposed algorithm effectively improves convergence rate. Simulation experiment results show that the GOA has faster convergence rate when compared with the traditional momentum EASI algorithm. In the small step size conditions, the advantage of GOA is even more obvious.
['Hua Yang', 'Hang Zhang', 'Liu Yang']
I am writing a research paper on a idea Gradient optimized blind sources separation algorithm
[{"from": "human", "value": "I am writing a research paper on a idea Gradient optimized blind sources separation algorithm"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , a new gradient optimized blind source separation algorithm (GOA) which aims at improving the convergence performance is proposed. This algorithm modifies the gradient of cost function to make the iteration process of separation matrix closer to its change pattern. To be more specific, by adding the difference value beten current time gradient and previous time gradient to the adaptive iterations of separation matrix, the proposed algorithm effectively improves convergence rate. Simulation experiment results show that the GOA has faster convergence rate when compared with the traditional momentum EASI algorithm. In the small step size conditions, the advantage of GOA is even more obvious."}]