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Another good feature of subspace methods is they incorporate a reliable order estimation process.
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In particular, a simple procedure is developed to decompose the filter model according to the precedence order of the state/parameter estimation process.
In order to simplify the estimation process, we will use a mixture of two normal distributions, with a 0 mean and variances σ 1 2 and σ 2 2, respectively, as a prior for the SNP effects, instead of the Spike and Slab distribution [ 11, 12] that was used by [ 4].
In order to speed up the estimation process, the first step estimates a coarse TOA of the received signal based on received signal energy.
Our focus is on oscillatory time series, and we use the standard and widely applicable tools of Hopf bifurcation analysis and Lindstedt's method [ 9] in order to inform the choice of priors, thereby simplifying and focussing the parameter estimation process in order to find a particular parameter regime.
The blank area is not considered when calculating the sum of absolute difference (SAD), that is, a mask with the blank areas is used in the motion estimation process in order to compute only the nonblank areas.
In statistics-based methods, a robust statistical algorithm is employed to detect the non-Lambertian observations as outliers and exclude them from the estimation process in order to minimize their influence on the final result.
Iterative CE method suggests that the imaginary interference can be used positively, how about trying to use it in order to improve the data estimation process? a The two real positions can be viewed as the real and imaginary parts of a complex position.
It is also seen that the overestimated channel order L does not affect the estimation process.
In the latter a time constant misalignment error was introduced for each satellite, in order to test the Euler angle estimation process.
To simplify the parameter estimation process, the first-order rate constant was transformed by application of the natural logarithm transformation.
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