Code covered by the BSD License
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ConvCode_BER_Curves()
ConvCode_BER_Curves Bit Error Rate plots for convolutional coded system.
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ConvCode_Simulate(SNRs, simLi...
Run ConvCode_*.mdl to generate Monte Carlo simulation results for
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Fading_BER_Curves(SNRs)
ConvCode_BER_Curves Bit Error Rate plots for convolutional coded system.
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Fading_Simulate(SNRs, varargi...
This function runs RayleighFlatFading_PSK*.mdl models
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PAM_Gray_Code()
Returns the Gray symbol ordering for M-ary PAM signals
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PSK_BER_Curves(SNRs)
PSK_BER_Curves Bit Error Rate plots for PSK signals over AWGN Channel.
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PSK_SER_Curves(SNRs)
PSK_SER_Curves Symbol Error Rate plots for PSK signals over AWGN Channel.
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PSK_Simulate
Run M_PSK_Model.mdl to generate Monte Carlo simulation results for
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PSK_Simulate(SNRs, varargin)
Run M_PSK_Model.mdl to generate Monte Carlo simulation results for
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PSK_Simulate(SNRs, varargin)
Run M_PSK_Model.mdl to generate Monte Carlo simulation results for
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QAM_BER_Curves(SNRs)
QAM_BER_Curves Bit Error Rate plots for QAM signals over AWGN Channel.
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QAM_Simulate(SNRs, varargin)
Run M_QAM_Model.mdl to generate Monte Carlo simulation results for
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RectQAM_const(M)
RectQAM_const Rectangular QAM Constellation points with Gray mapping.
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example_sel2html(fn,new)
Convert Dick Benson's example_sel text files to HTML documents
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example_sel2html(fn,new)
Convert Dick Benson's example_sel text files to HTML documents
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example_sel2html(fn,new)
Convert Dick Benson's example_sel text files to HTML documents
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example_sel2html(fn,new)
Convert Dick Benson's example_sel text files to HTML documents
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example_sel2html(fn,new)
Convert Dick Benson's example_sel text files to HTML documents
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example_sel2html(fn,new)
Convert Dick Benson's example_sel text files to HTML documents
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example_sel2html(fn,new)
Convert Dick Benson's example_sel text files to HTML documents
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rectQAM_const(M)
% M-PAM bit/symbol ordering
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save_as_old_ver(ver_num)
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RunMe.m
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registerImage.m
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run_me.m
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run_me.m
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run_me.m
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run_me.m
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run_me.m
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ConvCode_Quantized_F
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M_PSK_Model
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M_PSK_Model
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M_PSK_Model_8b
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M_QAM_Model
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covdata
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covdata
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covdata
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covdata
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covdata
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covdata
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View all files
from
Communication Systems Reference Curves
by Idin Motedayen-Aval
These files show how to match expected theoretical results by Monte Carlo simulations.
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| registerImage.m |
myResults4 = imread('myResults4.bmp');
cdata = imread('OdenWalder_7_2_code_bw.bmp');
% The following line opens the Control Point Selection Tool.
% Choose 4 points on the two images that are equiavlent points.
% See documentation for cpselect for more information.
cpselect(cdata, myResults4)
% These are control points that I selected:
load transformPts
% Compute the required transform
mytform = cp2tform(input_points, base_points, 'affine');
% Apply the transform
registered = imtransform(cdata, mytform,'fillvalue',1,'XData', [1 size(myResults4,2)],'YData', [1 size(myResults4,1)]);
% Now running the Simulink model will overlay the two images
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