61 lines
1.8 KiB
Matlab
61 lines
1.8 KiB
Matlab
function showLevelHistogram(eq_signal,ref_symbols,options)
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arguments
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eq_signal
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ref_symbols
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options.fignum (1,1) double = NaN % Default to NaN if not provided
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options.displayname (1,:) char = '' % Default to an empty string if not provided
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end
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if isa(eq_signal,'Signal')
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eq_signal = eq_signal.signal;
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end
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if isa(ref_symbols,'Signal')
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ref_symbols = ref_symbols.signal;
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end
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% Determine the figure number to use or create a new figure
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if isnan(options.fignum)
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fig = figure; % Create a new figure and get its handle
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else
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fig = figure(options.fignum); % Use the specified figure number
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end
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eq_signal = max(min(eq_signal,3),-3);
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%%% Separate Classes
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constellation = unique(ref_symbols);
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received_sd = NaN(numel(constellation),length(ref_symbols));
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lvlcol = cbrewer2('Paired',numel(constellation)*2);
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lvlcol = lvlcol(2:2:end,:);
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lvlcol = linspecer(numel(constellation));
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% lvlcol = cbrewer2('Set1',numel(constellation));
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for lvl = 1:numel(constellation)
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%Separate the equalized signal into the
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%respective levels based on the actually
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%transmitted level!
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received_sd(lvl,ref_symbols==constellation(lvl)) = eq_signal(ref_symbols==constellation(lvl));
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end
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% scaling = PAMmapper(numel(constellation),0).get_scaling;
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%%% FFE histogram
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clf
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for lvl = 1:numel(constellation)
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intermediate = received_sd(lvl,:);
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cnt(lvl) = round(numel(intermediate(~isnan(intermediate)))./length(eq_signal),3).*100;
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hold on
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warning off
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histogram(received_sd(lvl,:),1000,"EdgeAlpha",0,'DisplayName',['Lvl ',num2str(lvl),' ; ',num2str(cnt(lvl)),' '],'FaceColor',lvlcol(lvl,:),'Normalization','pdf');
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warning on
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end
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xlim([-3 3]);
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legend
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grid on
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% view([90 -90]);
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end
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