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In order to get a more precise estimate accuracy, each group of unknown parameters is to be estimated with signal separation estimation theory via iteration.
By this bivariate pdf and the Bayesian estimation theory, the MAP estimator of w1 (Sendur et al., 2002) is derived as (2) where y1 is child noisy coefficient, y2 is parent noisy coefficient.
It is known from parameter estimation theory that any maximum likelihood (ML) estimator is asymptotically unbiased, and an ML estimate is asymptotically Gaussian distributed [8].
In robust estimation theory, two important concepts characterize the robustness of an estimator: the breakdown point and the influence function.
Then, we use the estimated frequency to get amplitude and signal delay information by signal separation estimation theory.
Then, we use the estimated frequency to get amplitude and signal delay information with signal separation estimation theory.
He is the author of two textbooks on estimation theory.
Moreover, estimation theory of the entire density in the presence of a discontinuity point is explored.
Estimation theory finds a wide variety of applications in process engineering.
Statistical parameter estimation theory is proposed as a method to quantify electron microscopy images.
This is a well known problem in estimation theory, and thus will not be discussed here.
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