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This leads to the general topic of time delay estimation.
The Neuro Fuzzy Delay Estimation (NFDE) model and Artificial Neural Networks Delay Estimation (ANNDE) model are developed.
A new interpretation of the process of cross-correlation for time delay estimation is presented.
Relative Delay estimation is an important issue for asynchronous physical layer network coding (PLNC).
Conventionally, time delay estimation (TDE) can be achieved in two steps.
A fuzzy logic based delay estimation system is proposed and modelled.
Similar(12)
The time-delay estimation can be enhanced by model-based estimators.
The novelty of this work resides in the comparison of different time-delay estimation using measurement uncertainty as parameter.
Thus, the time-delay estimation can be focused on the short-delay multipath.
Thus, a ray model may be necessary for time-delay estimation.
This metric evaluates the impact of a two-ray multipath model on the time-delay estimation.
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