THE AUDITORY MODELING TOOLBOX
Go to function
PLOT_KELVASA2015 - Plot figures from Kelvasa and Dietz (2015)
Program code:
function plot_kelvasa2015(data,varargin)
%PLOT_KELVASA2015 Plot figures from Kelvasa and Dietz (2015)
% Usage: plot_kelvasa2015('fig8a')
%
% PLOT_KELVASA2015('fig8a','identifier','BTE','HRTFchannels',[3,4]);
% plots paper figure 8a using the behind-the-ear
% microphone channel('BTE')
%
% PLOT_KELVASA2015('fig8a',varargin);
% plots figure data for fig8a with updated model
% parameters specified as key/value pairs in 'varargin'.
% NOTE: When re-producing figures with new paramters,
% 'identifier' must be set so previously computed data is not
%
%
% The following flags can be specified;
%
% 'redo' Recomputes data for specified figure
%
% 'plot' Plot the output of the experiment. This is the default.
%
% 'noplot' Don't plot, only return data.
%
% 'fig5' Reproduce Fig. 5.
%
% 'fig6' Reproduce Fig. 6.
%
% 'fig8a' Reproduce Fig. 8a.
%
% 'fig8b' Reproduce Fig. 8b.
%
% 'fig9a' Reproduce Fig. 9a.
%
% 'fig10' Reproduce Fig. 10.
%
% 'fig12' Reproduce Fig. 12.
%
% References:
% D. Kelvasa and M. Dietz. Auditory model-based sound direction
% estimation with bilateral cochlear implants. Trends in Hearing,
% 19:2331216515616378, 2015.
%
%
% Url: http://amtoolbox.sourceforge.net/amt-0.10.0/doc/plot/plot_kelvasa2015.php
% Copyright (C) 2009-2020 Piotr Majdak and the AMT team.
% This file is part of Auditory Modeling Toolbox (AMT) version 0.10.0
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with this program. If not, see <http://www.gnu.org/licenses/>.
% Authors:
% Daryl Kelvasa (daryl.kelvasa@uni-oldenburg.de) 2016
% Mathias Dietz (mdietz@uwo.ca) 2016
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Retrieve and compute model paramters
% Set flags
definput.flags.type = {'missingflag','fig5','fig6','fig7','fig8a',...
'fig8b','fig9a','fig10','fig12'};
definput.flags.debugging = {'no_debug','debug'};
definput.flags.plot = {'plot','no_plot'};
definput.flags.plot_stage_fig = {'no_plot_stage_fig','plot_stage_fig'};
% import default arguments from other functions
definput.import={'kelvasa2015','amt_cache'};
[flags,kv] = ltfatarghelper({},definput,varargin);
if flags.do_missingflag
flagnames=[sprintf('%s, ',definput.flags.type{2:end-2}),...
sprintf('%s or %s',definput.flags.type{end-1},...
definput.flags.type{end})];
error('%s: You must specify one of the following flags: %s.',...
upper(mfilename),flagnames);end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Plot Figure 5 from Kelvasa and Dietz 2015
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if flags.do_fig5
binPos = [ 10, 13, 16, 19, 22];
levels = 35:70;
%Set plot layout for consecutive plots
rows = 3;
axisHeight = 5;
axisWidth = 7;
xIndent = 4;
yIndent = 1.9;
%Set plot labels
colLabel{1} = {'SSN','\fontsize{18}noHRTF'};
colLabel{2} = {'SSN','\fontsize{18}HRTF'};
colLabel{3} = {'SSN','\fontsize{18}HRTF'};
colLabel{4} = {'Sp','\fontsize{18}noHRTF'};
colLabel{5} = {'Sp','\fontsize{18}HRTF'};
colLabel{6} = {'Sp','\fontsize{18}HRTF'};
colLabel{7} = {'PN','\fontsize{18}noHRTF'};
colLabel{8} = {'PN','\fontsize{18}HRTF'};
colLabel{9} = {'PN','\fontsize{18}HRTF'};
colLabel{10} = {'WN','\fontsize{18}noHRTF'};
colLabel{11} = {'WN','\fontsize{18}HRTF'};
colLabel{12} = {'WN','\fontsize{18}HRTF'};
%Set colors for each bin plot
col = hsv(numel(binPos));
col(2,:) = col(2,:) + [0.2 -0.5 0];
%Generate Main Figure
mainFig = figure('Units','centimeters','Position',[0 0 37 18.5], ...
'PaperUnits','centimeters','PaperPosition',[0 0 37 18.5]);
for axisInd = 1 : 12
%Generate axis
cornerX = xIndent + axisWidth*(ceil(axisInd/rows)-1);
if ismember(axisInd,[1,4,7,10]); cornerY = yIndent;
elseif ismember(axisInd,[2,5,8,11]); cornerY = yIndent + axisHeight;
else ismember(axisInd,[3,6,9,12]); cornerY = yIndent + 2*axisHeight;
end
ax(axisInd)= axes ('Parent',mainFig,...
'Units','centimeters',...
'ColorOrder',col,...
'Fontsize',22,...
'XTick',45:10:65,...
'XTickLabel',[],...
'XLim',[35 75],...
'YTick',150:150:450,...
'YTickLabel',[],.....
'YLim',[0 500],...
'Position',...
[cornerX cornerY axisWidth axisHeight]);
hold(ax(axisInd),'on')
axis(ax(axisInd),'manual')
dataInd = [1, 2, 2, 3, 4, 4, 5, 6, 6, 7, 8, 8];
% Plot Data
if ismember(axisInd,[3,6,9,12])
plotData = data(dataInd(axisInd)).currentPerBinPerLevel;
plotData = plotData.*0.04;
else
plotData = data(dataInd(axisInd)).spikeRatePerBinPerLevel;
end
plot(ax(axisInd),levels,plotData,'Linewidth',3)
%Labels, legend, grid
if ismember(axisInd,[3 6 9 12]); labPos = 40;
else labPos = 410;end
text(37,labPos,colLabel{axisInd},...
'Fontsize',22,'EdgeColor','black');
if ismember(axisInd,[1 4 7 10])
set(ax(axisInd),'XTickLabel',45:10:65);end
if ismember(axisInd,[3 6 9 12])
ylim(ax(axisInd),[0 50])
set(ax(axisInd),'YTick',[15,30,45]);
end
if ismember(axisInd,[1 2])
set(ax(axisInd),'YTickLabel',[150,300,450]);
end
if axisInd == 7
h = xlabel(ax(axisInd),'Signal Level (dB SPL)');
p = get(h,'Position');p(1) = p(1) - 20;
set(h,'position',p);
end
if axisInd == 3
set(ax(axisInd),'YTickLabel',[15,30,45])
curTitle = sprintf('Total charge\n (nC)');
h =ylabel(ax(axisInd),curTitle,'Fontsize',22);
p = get(h,'position'); p = p + [-2.5 0 0];
set(h,'position',p);
end
if axisInd == 1
ANTitle = sprintf('AN response rate\n(spikes/sec)');
h = ylabel(ax(axisInd),ANTitle,'Fontsize',22);
p = get(h,'position'); p = p + [- 1 300 0];
set(h,'position',p);
end
end
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Plot Figure 6 from Kelvasa and Dietz 2015
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if flags.do_fig6
%Set plot layout for consecutive plots
rows = 2;
columns = 3;
axisHeight = 4.8;
axisWidth = 9;
xIndent = 4.5;
yIndent = 1.9;
%Needed parameters
azis = data(1).azis;
binPos = [ 10, 13, 16, 19, 22];
%Set plot labels
xAxisLab = 'Azimuthal angle';
yAxisLab1 = 'Right - Left';
yAxisLab3 = 're 0^\circ';
yAxisLab2 = sprintf('AN response rate differences\n(spikes/sec)');
colLabel{3} = sprintf('SSN\n65dB');
colLabel{2} = sprintf('SSN\n55dB');
colLabel{1} = sprintf('SSN\n45dB');
azisLabels = [num2str((0:30:90)'),repmat('^\circ',numel(0:30:90),1)];
%label = [num2str(binPos'),repmat(('mm'),5,1)];
%Set colors for each bin plot
col = hsv(numel(binPos));
col(2,:) = col(2,:) + [0.2 -0.5 0];
%Generate Main Figure
mainFig = figure('units','centimeters','position',[0 0 38 13],...
'PaperUnits','centimeters','PaperPosition',[0 0 38 13]);
for axisInd = 1 : rows*columns
%Generate axis
cornerX = xIndent + axisWidth*(ceil(axisInd/rows)-1) + ...
ceil(axisInd/rows)-1;
if ismember(axisInd,[1,3,5]); cornerY = yIndent;
else cornerY = yIndent + axisHeight; end
ax(axisInd)= axes ('Parent',mainFig,...
'units','centimeters',...
'ColorOrder',col,...
'Fontsize',24,...
'XTick',0:30:90,...
'XTickLabel',[],...
'XLim',[0 90],...
'YTick',0:50:300,...
'YTickLabel',[],...
'YGrid','on',...
'YLim',[-50 350],...
'Position',...
[cornerX cornerY axisWidth axisHeight]);
hold(ax(axisInd),'on')
axis(ax(axisInd),'manual')
% Process Data
if ismember(axisInd,[1 2]); results = data(1);
elseif ismember(axisInd,[3 4]); results = data(2);
else results = data(3);
end
rghtSpks = (results.SpkSumPerBin + results.SpkDiffPerBin)./2;
lftSpks = results.SpkSumPerBin - rghtSpks;
rghtSpks = rghtSpks - repmat(rghtSpks(1,:),size(rghtSpks,1),1);
lftSpks = lftSpks - repmat(lftSpks(1,:),size(rghtSpks,1),1);
% Plot Data
if ismember(axisInd,[1 3 5])
plot(ax(axisInd),azis,results.SpkDiffPerBin,...
'Linewidth',4);
else
plot(ax(axisInd),azis,rghtSpks,...
'Linewidth',4,...
'Linestyle','--')
plot(ax(axisInd),azis,lftSpks,...
'Linewidth',4);
end
%Labels, legend, grid
%Grid
plot(ax(axisInd),azis,zeros(numel(azis)),...
'Color','black','Linewidth',2,'Linestyle','--');
plot(ax(axisInd),azis,zeros(numel(azis)),...
'Color','black','Linewidth',3)
if ismember(axisInd,[2 4 6])
%axes(ax(axisInd));
text(3,-300,colLabel{axisInd/2},...
'Fontsize',24,...
'EdgeColor','black',...
'BackgroundColor','white');
end
if ismember(axisInd,2:2:6)
ylim(ax(axisInd),[-300 120])
set(ax(axisInd),'YTick',-250:50:100);
end
if ismember(axisInd,2)
set(ax(axisInd),'YTickLabel',...
[{''},-200,{''},-100,{''}, 0,{''}, 100 ]);
end
if ismember(axisInd,1)
set(ax(axisInd),'YTickLabel',...
[0,{''},100,{''},200,{''},300]);
end
if ismember(axisInd,[1 3 5])
set(ax(axisInd),'XTickLabel',azisLabels);
end
if axisInd == 3
h = xlabel(ax(axisInd),xAxisLab);
p = get(h,'Position');%p(1) = p(1) - 50;
set(h,'position',p);
end
if axisInd == 2
h = ylabel(ax(axisInd),yAxisLab2);
p = get(h,'Position'); p(1) = p(1) - 5;
p(2) = p(2) - 250; set(h,'position',p);
end
if axisInd == 6
%axes(ax(axisInd));
text(100,-40,yAxisLab3,'Fontsize',24,...
'Rotation',90,...
'VerticalAlignment','middle',...
'HorizontalAlignment','center');
end
if axisInd == 5
%axes(ax(axisInd));
text(102,150,yAxisLab1,'Fontsize',24,...
'Rotation',90,...
'VerticalAlignment','middle',...
'HorizontalAlignment','center');
end
end
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Plot Figure 7 from Kelvasa and Dietz 2015
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if flags.do_fig7
%Set plot layout for consecutive plots
rows = 1;
columns = 2;
axisHeight = 5.5;
axisWidth = 11;
xIndent = 4.7;
yIndent = 1.9;
%Needed parameters
azis = 0:5:90;
binPos = [ 10, 13, 16, 19, 22];
%Set plot labels
xAxisLab = 'Azimuthal angle';
yAxisLab2 = sprintf('AN response\n rate differences\n(spikes/sec)');
colLabel{1} = sprintf('SSN\n65dB');
colLabel{2} = sprintf('PN\n65dB');
azisLabels = [num2str((0:30:90)'),repmat('^\circ',numel(0:30:90),1)];
%label = [num2str(binPos'),repmat(('mm'),5,1)];
%Set colors for each bin plot
col = hsv(numel(binPos));
col(2,:) = col(2,:) + [0.2 -0.5 0];
%Generate Main Figure
mainFig = figure('units','centimeters','position',[0 0 30 8],...
'PaperUnits','centimeters','Paperposition',[0 0 30 8]);
for axisInd = 1 : rows*columns
%Generate axis
if axisInd == 1; cornerX = xIndent;
else cornerX = 1.5*xIndent + axisWidth;end
cornerY = yIndent;
ax(axisInd)= axes ('Parent',mainFig,...
'units','centimeters',...
'ColorOrder',col,...
'Fontsize',24,...
'XTick',0:30:90,...
'XTickLabel',[],...
'XLim',[0 90],...
'YLim',[-120 280],...
'YTick',-100:50:250,...
'YTickLabel',[],...
'YGrid','on',...
'Position',...
[cornerX cornerY axisWidth axisHeight]);
hold(ax(axisInd),'on')
axis(ax(axisInd),'manual')
% Process Data
results = data(axisInd);
% Plot Data
plot(ax(axisInd),azis,results.SpkDiffPerBin,...
'Linewidth',4);
%Labels, legend, grid
%Grid
plot(ax(axisInd),azis,zeros(numel(azis)),...
'Color','black','Linewidth',2,'Linestyle','--');
plot(ax(axisInd),azis,zeros(numel(azis)),...
'Color','black','Linewidth',3)
axes(ax(axisInd));
text(3,150,colLabel{axisInd},...
'Fontsize',24,...
'EdgeColor','black',...
'BackgroundColor','white');
if ismember(axisInd,1)
set(ax(axisInd),'YTickLabel',...
[-100,{''},0,{''},100,{''},200,{''}]);
end
if ismember(axisInd,[1 2])
set(ax(axisInd),'XTickLabel',azisLabels);
end
if axisInd == 1
h = xlabel(ax(axisInd),xAxisLab);
p = get(h,'Position');p(1) = p(1) + 50;
set(h,'position',p);
end
if axisInd == 1
h = ylabel(ax(axisInd),yAxisLab2);
end
end
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Plot Figure 8a, 8b, 9a from Kelvasa and Dietz 2015
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if flags.do_fig8a || flags.do_fig8b || flags.do_fig9a
%Set plot layout for consecutive plots
axisHeight = 3.8;
axisWidth1 = 3.8;
axisWidth2 = 1;
xIndent = 2.3;
yIndent = 2;
%Set plot labels
xAxisLab = 'Target angle';
yAxisLab = 'Predicted angle';
axisLabel = {'45dB','22mm','16mm','10mm','65dB','55dB','19mm','13mm'};
azisLabels = {'0^\circ','30^\circ','60^\circ','90^\circ'};
%Set colors for each bin plot
col = hsv(5);
col(2,:) = col(2,:) + [0.2 -0.5 0];
%Generate Main Figure
mainFig = figure('units','centimeters','position',[1 1 12 28.5],...
'PaperUnits','centimeters','PaperPosition',[1 1 12 28.5]);
% mainFig = figure('units','normalized',...
% 'position',[0.05 0.05 0.5 0.9]);
binPlotInd = [3,5,7,13,15]; binPlotMap(binPlotInd) = [5,3,1,4,2];
for axisInd = 1 : 2: 16
%Generate axis
if ismember(axisInd,1:8); cornerX = xIndent; end
if ismember(axisInd,9:16); cornerX = xIndent + axisWidth1 +...
axisWidth2; end
if ismember(axisInd,[1 9]); cornerY = yIndent; end
if ismember(axisInd,[3 11]); cornerY = yIndent + axisHeight; end
if ismember(axisInd,[5 13]); cornerY = yIndent + 2*axisHeight; end
if ismember(axisInd,[7 15]); cornerY = yIndent + 3*axisHeight; end
ax(axisInd)=axes('Parent',mainFig,...
'units','centimeters',...
'fontsize', 24,...
'xlim',[-10 100],...
'ylim',[-10 100],...
'XTick',0:30:90,...
'XTickLabel',[],...
'YTick',0:30:90,...
'YTickLabel',[],...
'Position',...
[cornerX cornerY axisWidth1 axisHeight]);
hold(ax(axisInd),'on')
axis(ax(axisInd),'manual')
grid(ax(axisInd),'on')
ax(axisInd+1)=axes('Parent',mainFig,...
'units','centimeters',...
'xlim',[-10 100],...
'ylim',[0 20],...
'View',[90 -90],...
'Color',get(gcf,'color'),...
'xcolor',get(gcf,'color'),...
'ycolor',get(gcf,'color'),...
'color',get(gcf,'color'),...
'ytick',[],...
'xtick',[],...
'position',[cornerX+axisWidth1 cornerY ...
axisWidth2 axisHeight]);
hold(ax(axisInd+1),'on')
axis(ax(axisInd+1),'manual')
%Process data
if axisInd == 1;
predictions = data(1); color = 'black';
predictions = predictions.groupedWeightedPrediction;
end
if axisInd == 9;
predictions = data(3); color = 'black';
predictions = predictions.groupedWeightedPrediction;
end
if axisInd == 11;
predictions= data(2);color = 'black';
predictions = predictions.groupedWeightedPrediction;
end
if ismember(axisInd,binPlotInd);
predictions = data(2);
predictions = ...
predictions.groupedBinPredictions{binPlotMap(axisInd)};
color = col(binPlotMap(axisInd),:);
end
rmsError = sqrt(sum((predictions(1,:) - ...
predictions(3,:)).^2.*...
predictions(2,:))./...
sum(predictions(2,:)));
%Plot data
scatter(predictions(3,:),predictions(1,:),...
predictions(2,:).*3,color,'Linewidth',2,'Parent',ax(axisInd))
hist(ax(axisInd+1),predictions(1,:),-10:5:100)
h = findobj(ax(axisInd+1),'Type','patch');
set(h,'FaceColor',color);
set(h,'EdgeColor','black');
%Labels, legend, grid
plot(ax(axisInd),-10:100,-10:100,'linestyle','-',...
'color','black')
axes(ax(axisInd))
text(45,5,[num2str(round(rmsError)),'^\circ'],...
'Fontsize',24)
text(-8,85,axisLabel{ceil(axisInd/2)},...
'Fontsize',18,...
'Edgecolor','black',...
'BackgroundColor','white')
if ismember(axisInd,1:2:8)
set(ax(axisInd),...
'YTickLabel',azisLabels,...
'Fontsize',20);
end
if ismember(axisInd,[1,9])
set(ax(axisInd),...
'XTickLabel',azisLabels,...
'Fontsize',20);
end
if axisInd == 9
h = xlabel(ax(axisInd),xAxisLab);
p = get(h,'Position');p(2) = p(2)-5;
p(1) = p(1)-60; set(h,'position',p);
end
if axisInd == 5
h = ylabel(ax(axisInd),yAxisLab);
p = get(h,'Position');p = p + [0 -65 0];
set(h,'position',p);
end
end
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Plot Figure 10 from Kelvasa and Dietz 2015
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if flags.do_fig10
%Set plot layout for consecutive plots
axisHeight = 6;
axisWidth1 = 6;
axisWidth2 = 1;
xIndent = 2.4;
yIndent = 1.7;
%Set plot labels
xAxisLab = 'Target angle';
yAxisLab = 'Predicted angle';
azisLabels = {'0^\circ','30^\circ','60^\circ','90^\circ'};
axisLabel = {{'\fontsize{16}Continuous','Speech', '10s'},...
{'\fontsize{16}Sp 55dB','200 ms'},...
{'\fontsize{16}Continuous','Speech', '10s'},...
{'\fontsize{16}Sp 55dB','200 ms'}};
%Generate Main Figure
mainFig = figure('units','centimeters','position',[0 0 17 16],...
'PaperUnits','centimeters','PaperPosition',[0 0 17 16]);
for axisInd = 1 : 2: 8
%Generate axis
if ismember(axisInd,1:4); cornerX = xIndent; end
if ismember(axisInd,5:8); cornerX = xIndent + axisWidth1 +...
axisWidth2; end
if ismember(axisInd,[1,5]); cornerY = yIndent; end
if ismember(axisInd,[3,7]); cornerY = yIndent + axisHeight; end
ax(axisInd)=axes('Parent',mainFig,...
'units','centimeters',...
'fontsize', 24,...
'xlim',[-10 100],...
'ylim',[-10 100],...
'XTick',0:30:90,...
'XTickLabel',[],...
'YTick',0:30:90,...
'YTickLabel',[],...
'Position',...
[cornerX cornerY axisWidth1 axisHeight]);
hold(ax(axisInd),'on')
axis(ax(axisInd),'manual')
grid(ax(axisInd),'on')
ax(axisInd+1)=axes('Parent',mainFig,...
'units','centimeters',...
'xlim',[-10 100],...
'ylim',[0 20],...
'View',[90 -90],...
'Color',get(gcf,'color'),...
'xcolor',get(gcf,'color'),...
'ycolor',get(gcf,'color'),...
'color',get(gcf,'color'),...
'ytick',[],...
'xtick',[],...
'position',[cornerX+axisWidth1 cornerY ...
axisWidth2 axisHeight]);
hold(ax(axisInd+1),'on')
axis(ax(axisInd+1),'manual')
%Process data
predictions = data((axisInd+1)/2);
predictions = ...
predictions.groupedWeightedPrediction;
color = 'black';
rmsError = sqrt(sum((predictions(1,:) - ...
predictions(3,:)).^2.*...
predictions(2,:))./...
sum(predictions(2,:)));
%Plot data
scatter(predictions(3,:),predictions(1,:),...
predictions(2,:).*3,color,'Linewidth',2,'Parent',ax(axisInd))
hist(ax(axisInd+1),predictions(1,:),-10:5:100)
h = findobj(ax(axisInd+1),'Type','patch');
set(h,'FaceColor',color);
set(h,'EdgeColor','black');
%Labels, legend, grid
plot(ax(axisInd),-10:100,-10:100,'linestyle','-',...
'color','black')
axes(ax(axisInd))
text(45,5,[num2str(round(rmsError)),'^\circ'],...
'Fontsize',24)
text(-8,80,axisLabel{ceil(axisInd/2)},...
'Fontsize',18,...
'Edgecolor','black',...
'BackgroundColor','white')
if ismember(axisInd,[1,3])
set(ax(axisInd),...
'YTickLabel',azisLabels,...
'Fontsize',20);
end
if ismember(axisInd,[1,5])
set(ax(axisInd),...
'XTickLabel',azisLabels,...
'Fontsize',20);
end
if axisInd == 1
h = xlabel(ax(axisInd),xAxisLab);
p = get(h,'Position');
p(1) = p(1)+55; set(h,'position',p);
end
if axisInd == 1
h = ylabel(ax(axisInd),yAxisLab);
p = get(h,'Position');
p(2) = p(2)+55; set(h,'position',p);
end
if axisInd == 3
title({'AN Response','difference m90'})
end
if axisInd == 7
title({'MLE'})
end
end
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Plot Figure 12 from Kelvasa and Dietz 2015
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if flags.do_fig12
%Set plot layout for consecutive plots
axisHeight = 6;
axisWidth1 = 6;
axisWidth2 = 1;
xIndent = 2.4;
yIndent = 1.7;
%Set plot labels
xAxisLab = ('Target angle');
yAxisLab = ('Predicted angle');
axisLabel = {'SSN',{'SSN','5dB SNR'}};
azisLabels = {'0^\circ','30^\circ','60^\circ','90^\circ'};
%Set colors for each bin plot
col = hsv(5);
col(2,:) = col(2,:) + [0.2 -0.5 0];
%Generate Main Figure
mainFig = figure('units','centimeters','position',[0 0 17 8],...
'PaperUnits','centimeters','PaperPosition',[0 0 17 8]);
for axisInd = 1 : 2: 4
%Generate axis
if ismember(axisInd,1:2); cornerX = xIndent; end
if ismember(axisInd,3:4); cornerX = xIndent + axisWidth1 +...
axisWidth2; end
if ismember(axisInd,1:4); cornerY = yIndent; end
ax(axisInd)=axes('Parent',mainFig,...
'units','centimeters',...
'fontsize', 24,...
'xlim',[-10 100],...
'ylim',[-10 100],...
'XTick',0:30:90,...
'XTickLabel',[],...
'YTick',0:30:90,...
'YTickLabel',[],...
'Position',...
[cornerX cornerY axisWidth1 axisHeight]);
hold(ax(axisInd),'on')
axis(ax(axisInd),'manual')
grid(ax(axisInd),'on')
ax(axisInd+1)=axes('Parent',mainFig,...
'units','centimeters',...
'xlim',[-10 100],...
'ylim',[0 20],...
'View',[90 -90],...
'Color',get(gcf,'color'),...
'xcolor',get(gcf,'color'),...
'ycolor',get(gcf,'color'),...
'color',get(gcf,'color'),...
'ytick',[],...
'xtick',[],...
'position',[cornerX+axisWidth1 cornerY ...
axisWidth2 axisHeight]);
hold(ax(axisInd+1),'on')
axis(ax(axisInd+1),'manual')
%Process data
predictions = data((axisInd+1)/2);
predictions = ...
predictions.groupedWeightedPrediction;
color = 'black';
rmsError = sqrt(sum((predictions(1,:) - ...
predictions(3,:)).^2.*...
predictions(2,:))./...
sum(predictions(2,:)));
%Plot data
scatter(predictions(3,:),predictions(1,:),...
predictions(2,:).*3,color,'Linewidth',2,'Parent',ax(axisInd))
hist(ax(axisInd+1),predictions(1,:),-10:5:100)
h = findobj(ax(axisInd+1),'Type','patch');
set(h,'FaceColor',color);
set(h,'EdgeColor','black');
%Labels, legend, grid
plot(ax(axisInd),-10:100,-10:100,'linestyle','-',...
'color','black')
axes(ax(axisInd))
text(45,5,[num2str(round(rmsError)),'^\circ'],...
'Fontsize',24)
text(-8,85,axisLabel{ceil(axisInd/2)},...
'Fontsize',18,...
'Edgecolor','black',...
'BackgroundColor','white')
if ismember(axisInd,1)
set(ax(axisInd),...
'YTickLabel',azisLabels,...
'Fontsize',20);
end
if ismember(axisInd,[1,3])
set(ax(axisInd),...
'XTickLabel',azisLabels,...
'Fontsize',20);
end
if axisInd == 1
h = xlabel(ax(axisInd),xAxisLab);
p = get(h,'Position');
p(1) = p(1)+55; set(h,'position',p);
end
if axisInd == 1
h = ylabel(ax(axisInd),yAxisLab);
end
end
end
end
Build with Bootstrap