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The numerical calculation of Eq. (31) is implemented using the MATLAB package.
The rescaled data presented in a previous section were fitted to the map using the Matlab package lsqnonlin, and with MCMC techniques ([29, 30]).
One or more custom implementation of these approaches was written and optimised in house into a common framework using the Matlab package, with the Image Processing Toolbox available for testing.
The analyses were performed using the MATLAB package MDA (Navarro, 2003).
The images were segmented by thresholding, and the segmented images were used to generate a tetrahedral mesh using the Matlab package Iso2mesh [ 38].
Post-error effects on latent processes We fit the model to the individual data using the MATLAB package DMAT (Vandekerckhove & Tuerlinckx, 2007, 2008), which allows the user to estimate the model parameters using maximum likelihood.
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We use the Matlab package FreeDegree for the Willett and Nowak estimate, λ ˆ n WN.
For the singular decomposition and Tikhonov-Morozov algorithms, we used the Matlab package developed by Hansen [20].
The analysis was performed using the Matlab software package, Release 12, Version 6.0 [ 21].
All models were implemented using the Matlab software package, Version 7.0.1 [ 29].
In Figure 2 the throughput results obtained using the Matlab simulation package are presented for the Pedestrian B channel h → ped_B after averaging a total 100 sets of measurements.
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