Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this letter,  address the problem of estimating a parameter acting as a scale factor on the observations probability density function (pdf), i.e. a scale parameter. Histogram based Maximum Likelihood (ML) estimation of a scale parameter requires the evaluation of a discrete scale correlation.  show how ML estimation can be implemented by means of a computationally efficient Discrete Fourier Transform based procedure, when geometric histogram sampling is adopted. As a case study,  analyze a gain estimator for general QAM constellations. Simulation results and theoretical performance analysis show that the presented ML estimator outperforms selected state of the art estimators, approaching the Cramer-Rao Lor Bound (CRLB) for a wide range of SNR.
['Stefania Colonnese', 'Stefano Rinauro', 'Gaetano Scarano']
I am writing a research paper on a idea Fast Maximum Likelihood Scale Parameter Estimation From Histogram Measurements
[{"from": "human", "value": "I am writing a research paper on a idea Fast Maximum Likelihood Scale Parameter Estimation From Histogram Measurements"}, {"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,  address the problem of estimating a parameter acting as a scale factor on the observations probability density function (pdf), i.e. a scale parameter. Histogram based Maximum Likelihood (ML) estimation of a scale parameter requires the evaluation of a discrete scale correlation.  show how ML estimation can be implemented by means of a computationally efficient Discrete Fourier Transform based procedure, when geometric histogram sampling is adopted. As a case study,  analyze a gain estimator for general QAM constellations. Simulation results and theoretical performance analysis show that the presented ML estimator outperforms selected state of the art estimators, approaching the Cramer-Rao Lor Bound (CRLB) for a wide range of SNR."}]