Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Recently, the proportionate normalized least mean square (PNLMS) algorithm was developed for use in network echo cancelers. In comparison to the normalized least mean square (NLMS) algorithm, PNLMS has very fast initial convergence and tracking when the echo path is sparse. Unfortunately, when the impulse response is dispersive, the PNLMS converges much slor than NLMS. This implies that the rule proposed in PNLMS is far from optimal. In many simulations, it seems that  fully benefit from PNLMS only when the impulse response is close to a delta function. ,  propose a new rule that is more reliable than the one used in PNLMS. Many simulations show that the new algorithm (improved PNLMS) performs better than NLMS and PNLMS, whatever the nature of the impulse response is.
['Jacob Benesty', 'Steven L. Gay']
I am writing a research paper on a idea An improved PNLMS algorithm
[{"from": "human", "value": "I am writing a research paper on a idea An improved PNLMS algorithm"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Recently, the proportionate normalized least mean square (PNLMS) algorithm was developed for use in network echo cancelers. In comparison to the normalized least mean square (NLMS) algorithm, PNLMS has very fast initial convergence and tracking when the echo path is sparse. Unfortunately, when the impulse response is dispersive, the PNLMS converges much slor than NLMS. This implies that the rule proposed in PNLMS is far from optimal. In many simulations, it seems that  fully benefit from PNLMS only when the impulse response is close to a delta function. ,  propose a new rule that is more reliable than the one used in PNLMS. Many simulations show that the new algorithm (improved PNLMS) performs better than NLMS and PNLMS, whatever the nature of the impulse response is."}]