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display_stats.m
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% Display Simulation Statistics %%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% * Description: %
% - Displays a series of estimation statistics for all filters. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% ======================================================================= %
% Compute simulation statistics
% ======================================================================= %
% Pre-allocating lists
f_ids = cell(n_filters,1); % Filter identifications
f_means = zeros(n_filters,1); % Mean of error variances
f_stds = zeros(n_filters,1); % Standard deviation of error variances
f_times = zeros(n_filters,1); % Average iteration execution times
for f = 1:n_filters
f_ids{f} = filters{f}.id;
f_means(f) = filters{f}.mean_S2;
f_stds(f) = filters{f}.std_S2;
f_times(f) = filters{f}.T_it * 1e3;
end
% ======================================================================= %
% Display results
% ======================================================================= %
fprintf("########## Simulation Statistics ##########\n\n");
VarNames = {'Filter','Mean_dB','Std_Dev_dB','T_iter_ms'};
sim_stats = table(f_ids,f_means,f_stds,f_times,'VariableNames',VarNames);
disp(sim_stats);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%