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Then, the 2-D DOA estimation can be estimated by using eigenvalue decomposition (EVD) of the new constructed matrix.
The within-gene covariance matrix can be estimated by using maximum likelihood (ML) estimation.
The probability density function for each class for a univariate case can be estimated by using the Parzen's nonparametric estimator [72].
These parameters can be estimated by using historical tidal current speed records and an L-moment estimation (LME) method.
The activation function can be estimated by using different methods.
Then the key soil parameters can be estimated by using a suitable soil model.
The track irregularities can be estimated by using the bogie and the car body acceleration sensors.
Finally, data symbols can be estimated by using a simple time-frequency receiver:.
The statistical parameters can be estimated by using the RD image.
where α j + 1 ( o ) can be estimated by using a classical maximum likelihood estimate.
Then the damping ratio can be estimated by using a formula similar to that of the bandwidth method.
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