Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  introduces a multiple-channel hybrid filtered-X least mean square (MHFLMS) active noise control (ANC) algorithm. The algorithm is capable of cancelling both narrow-band and broadband noises in complicated noise environments. The algorithm structure is discussed under a very general active noise cancelling condition. The MHFLMS algorithm is an integration of a multiple-channel filtered-X least mean square algorithm and a multiple-channel feedback filtered-X least mean square algorithm. The MHFLMS algorithm performance is analyzed for its steady-state noise cancelling behavior. Extensive computer simulations verify that the MHFLMS algorithm outperforms several existing ANC algorithms under various noise cancelling conditions. Analysis results of the actual noise from a large plant for which a real-time ANC system is being developed also demonstrate the performance advantages of the MHFLMS algorithm over the other ANC algorithms.
['Xuan Kong', 'Pu Liu', 'Sen M. Kuo']
I am writing a research paper on a idea Multiple channel hybrid active noise control systems
[{"from": "human", "value": "I am writing a research paper on a idea Multiple channel hybrid active noise control systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  introduces a multiple-channel hybrid filtered-X least mean square (MHFLMS) active noise control (ANC) algorithm. The algorithm is capable of cancelling both narrow-band and broadband noises in complicated noise environments. The algorithm structure is discussed under a very general active noise cancelling condition. The MHFLMS algorithm is an integration of a multiple-channel filtered-X least mean square algorithm and a multiple-channel feedback filtered-X least mean square algorithm. The MHFLMS algorithm performance is analyzed for its steady-state noise cancelling behavior. Extensive computer simulations verify that the MHFLMS algorithm outperforms several existing ANC algorithms under various noise cancelling conditions. Analysis results of the actual noise from a large plant for which a real-time ANC system is being developed also demonstrate the performance advantages of the MHFLMS algorithm over the other ANC algorithms."}]