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This affects the performance prediction methodology since the SINR estimation is based on the estimated channel coefficients.
Cost estimation is based on industry standard techniques.
The estimation is based on an Extended Kalman Filter.
This estimation is based on C-α positions; therefore, the atomic details of the model (for example, the conformations of the side chains) should be treated with caution.
The parameter estimation is based on the method of maximum likelihood.
The estimation is based upon sequences of independent and identically distributed random variables.
However, previous cost-benefit based design flood estimation is based on stationary assumption.
Position estimation is based on feature detection and description from images.
Position estimation is based on a differential OPS system with additional functions to improve the reliability.
The point cloud estimation is based on threshold techniques and edge detection method.
FDML uses the Gaussian likelihood function for first differenced data and parameter estimation is based on the whole domain over which the log-likelihood is defined.
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