Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this letter, a sinusoidal time-frequency distribution based filtering (STFD-F) algorithm is proposed and analysed for estimating mono-component stationary sinusoidal signals embedded in strong noise. An initial frequency estimation of the sinusoidal signal is required in the STFD-F algorithm.  theoretically derive the closed-form expressions of the variance and the bias of the estimated signal using the STFD-F, and show that the performance of the STFD-F is dependent on the frequency estimation accuracy, which can be gradually refined by performing an iterative STFD-F procedure. Computer simulations on synthetic sinusoidal signals are presented to corroborate the theoretical analysis.
['Haijian Zhang', 'Lei Yu', 'Gui-Song Xia']
I am writing a research paper on a idea Iterative Time-Frequency Filtering of Sinusoidal Signals With Updated Frequency Estimation
[{"from": "human", "value": "I am writing a research paper on a idea Iterative Time-Frequency Filtering of Sinusoidal Signals With Updated Frequency Estimation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this letter, a sinusoidal time-frequency distribution based filtering (STFD-F) algorithm is proposed and analysed for estimating mono-component stationary sinusoidal signals embedded in strong noise. An initial frequency estimation of the sinusoidal signal is required in the STFD-F algorithm.  theoretically derive the closed-form expressions of the variance and the bias of the estimated signal using the STFD-F, and show that the performance of the STFD-F is dependent on the frequency estimation accuracy, which can be gradually refined by performing an iterative STFD-F procedure. Computer simulations on synthetic sinusoidal signals are presented to corroborate the theoretical analysis."}]