Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  discusses a Kalman filter approach to parameter estimation and tracking for a class of discrete event processes. The proposed estimation techniques operate on the recorded event arrival time sequence of a pulse train signal with pulse occurrence times corrupted by timing noise. In adopting a state space approach to signal modelling, a number of real-world conditions are considered and this leads to the formulation of a ICalman filter estimator that is robust to missing and false data, and to signal model mismatch.
['Stephen D. Elton', 'Benjamin J. Slocumb']
I am writing a research paper on a idea A Robust Kalman Filter for Estimatioh and Tracking of a Class of Periodic Discrete Event Processes
[{"from": "human", "value": "I am writing a research paper on a idea A Robust Kalman Filter for Estimatioh and Tracking of a Class of Periodic Discrete Event Processes"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  discusses a Kalman filter approach to parameter estimation and tracking for a class of discrete event processes. The proposed estimation techniques operate on the recorded event arrival time sequence of a pulse train signal with pulse occurrence times corrupted by timing noise. In adopting a state space approach to signal modelling, a number of real-world conditions are considered and this leads to the formulation of a ICalman filter estimator that is robust to missing and false data, and to signal model mismatch."}]