Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In adaptive filtering, new structures and algorithms are frequently proposed with the objective of increasing the convergence speed and/or reducing the computational complexity of the conventional algorithms, mainly for applications that require a large number of adaptive coefficients. In such applications, adaptive subband structures are specially attractive since the adaptation and filtering are performed at a reduced sampling rate. Recently, an adaptive filtering structure with critical sampling was proposed, which is able to model exactly any finite impulse response system.  a convergence analysis of an LMS type adaptation algorithm with por normalized step-sizes developed for this subband structure is presented and an optimization procedure to select the filter bank coefficients is proposed, which results in fast adaptation convergence rate and reduced mean-square error.
['Mariane R. Petraglia', 'Paulo B. Batalheiro']
I am writing a research paper on a idea Filter bank design for an adaptive subband structure with critical sampling using a new adaptation scheme
[{"from": "human", "value": "I am writing a research paper on a idea Filter bank design for an adaptive subband structure with critical sampling using a new adaptation scheme"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In adaptive filtering, new structures and algorithms are frequently proposed with the objective of increasing the convergence speed and/or reducing the computational complexity of the conventional algorithms, mainly for applications that require a large number of adaptive coefficients. In such applications, adaptive subband structures are specially attractive since the adaptation and filtering are performed at a reduced sampling rate. Recently, an adaptive filtering structure with critical sampling was proposed, which is able to model exactly any finite impulse response system.  a convergence analysis of an LMS type adaptation algorithm with por normalized step-sizes developed for this subband structure is presented and an optimization procedure to select the filter bank coefficients is proposed, which results in fast adaptation convergence rate and reduced mean-square error."}]