Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The sign subband adaptive filter (SSAF) algorithm is introduced to reduce performance degradation of least-mean-square-type algorithms due to a correlated input signal or an impulsive noise environments. Hover,#R##N##R##N#this algorithmh has huge computational complexity when the length of the unknown system is large. In#R##N##R##N#this paper,  focus on reduce computational complexity of the conventional SSAF algorithm and propose#R##N##R##N#an SSAF algorithm which selects number of subbands according to convergence state. The specific bands#R##N##R##N#which contributes to decrease the mean-square deviation are used to update the adaptive filter. Thus, the#R##N##R##N#proposed algorithm reduces the computational complexity compared to the conventional SSAF algorithm.#R##N##R##N#The selection mehtod is derived by analysing the mean-square deviation. Through the computer simulation,#R##N##R##N#simulation results are presented that demonstrate the fast convergence rate of the proposed algorithm and save#R##N##R##N#the computational cost.
['Jae Jin Jeong', 'Seung Hun Kim', 'Gyogwon Koo', 'Sang Woo Kim']
I am writing a research paper on a idea Sign Subband Adaptive Filter with Selection of Number of Subbands
[{"from": "human", "value": "I am writing a research paper on a idea Sign Subband Adaptive Filter with Selection of Number of Subbands"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The sign subband adaptive filter (SSAF) algorithm is introduced to reduce performance degradation of least-mean-square-type algorithms due to a correlated input signal or an impulsive noise environments. Hover,#R##N##R##N#this algorithmh has huge computational complexity when the length of the unknown system is large. In#R##N##R##N#this paper,  focus on reduce computational complexity of the conventional SSAF algorithm and propose#R##N##R##N#an SSAF algorithm which selects number of subbands according to convergence state. The specific bands#R##N##R##N#which contributes to decrease the mean-square deviation are used to update the adaptive filter. Thus, the#R##N##R##N#proposed algorithm reduces the computational complexity compared to the conventional SSAF algorithm.#R##N##R##N#The selection mehtod is derived by analysing the mean-square deviation. Through the computer simulation,#R##N##R##N#simulation results are presented that demonstrate the fast convergence rate of the proposed algorithm and save#R##N##R##N#the computational cost."}]