% Automatic Picture Transmission (APT) Decoding % Developed by Bill Dower, Kawaya Swana Eric Mbaka, Mark Roland, Vijo Varghese % at the University of Kansas Electrical Engineering Department, May 2006 %%WXSat demodulation clear all; location=input('What is the location of the wav file?','s'); [x1, fs, bits]=wavread(location); x=x1(1:length(x1),1); if fs~=11025 'The sampling rate must be 11.025 kHz' return; end max_amplitude = max([max(x), abs(min(x))]); % find the maximum amplitude x = x./max_amplitude; % normalize the input signal x=x-mean(x); %%Low pass filter used in demodulation of the AM signal 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[B,A] = butter(9,1000/(fs/2),'low'); ensig=abs(x); %%Rectifies the AM signal out=filter(B,A,ensig); %%Preforms the smothing function in Envelope detection out=out-mean(out);%% Remove any DC y=out/max(out);%%Normalizes the message signal t=[0:1/fs:1/160];%%Length of the sync wave form in time at the %%sampling freq cA=(square(1040*t*(2*pi)));%%Creates the expected sync pulse hA=conv(transpose(cA),y(1:length(y)));%%Preforms the correlation syncA=hA(length(cA):length(hA));%%Removes the convolution tails lines=floor(length(syncA)*2/fs);%%Determines the number of possible rows %%in the picture len=floor(.5*fs);%%Determines the length in samples of each line %%Finds the largest point in the correlation to determine where each row %%starts for l=1:lines; [H,I]=max(syncA((l-1)*len+1:l*len)); list(l)=I+len*l; end %%Determines the spacing between the current end of the sync wave and %%the end of the sync wave four lines previous to the current position test(1:4)=[0, 0, 0, 0]; for l=5:(length(list)-1) test(l)=list(l)-list(l-4); end %%Determines the first detected sync pulse with the correct spacing. start %%determines where the first sample of the first line is. count=1; start=0; while(start==0) if test(count)>(2*fs-5) if test(count)<(2*fs+5) start=list(count); end end count=count+1; end badcount=0; %%refers to the number of incorrectly spaced detected sync pulses goodindex=count;%%list of the index points for each row for k=count:(length(list)-1) if test(k)>(2*fs-5) && test(k)<(2*fs+5) %%Checks to see if the index is %%correctly spaced from the index value 2 seconds before goodlist(k-count+1)=list(k);%%If so adds the value to the list badcount=0;%%Resets the number of badcounts goodindex=k;%%Saves the last known good index else %%If false the number of badcounts is increased by one badcount=badcount+1; %%The value of the bad index is interpolated from the last known %%good value goodlist(k-count+1)=list(goodindex)+floor((fs/2)*badcount); end end %%determines the length of each row due to the sampling frequency colums=ceil(fs/2); %%determines the number of rows from the data rows=floor((length(y)-start)/colums) if (rows/2-floor(rows/2))==0 rows=rows-3; end %%Creates a matrix of the signal that was sent using the interpolated index for l=1:rows-1 raw(l,1:5513)=y(goodlist(l):goodlist(l)+colums-1); end %%Resamples the signal in each row so that the picture will have the right %%number of data points so that the aspect ratio is 1:1 for k=1:length(goodlist) M(k,1:4161)=resample(raw(k,1:colums),1664,2205); end fs=4160;%%New sampling frequency %%Contrast Loop so that the signal will have the right amount of contrast %%for the user. % loop=1; % scale=0; % while (loop==1) % %%Normalizes the data points between 0 and 255 for the image % minM=min(min(M)); % maxM=max(max(M)); % range=(maxM-minM); % Map=M./range; % minMap=min(min(Map)); % Map=Map-minMap; % Map=Map*255*.25^scale; figure(1) imagesc(M); axis image; colormap(gray); % contrast=input('Would you like to make the image brighter or darker?(b=bright d=dark n=no)','s'); % %%increases of decreases the scaling exponent % if contrast=='d' % scale=scale+1; % elseif contrast=='b' % scale=scale-1; % else % loop=0; % figure(1) % end; % end; %%Since some satelites pass South to North the Image will have the south at %%the top of the image and the north at the botom of the image which defies %%the normal convention. This loop flips the data, scales and normalizes %%it. flip=input('Would you like to flip the image? (y=yes n=no)','s'); if flip=='y' M=flipud(M); M=fliplr(M); % minM=min(min(M)); % maxM=max(max(M)); % range=(maxM-minM); % Map=M./range; % minMap=min(min(Map)); % Map=Map-minMap; % Map=Map*255*.25^scale; % figure(1) imagesc(M); axis image; colormap(gray); end %%This is the color mapping for the data which does not work that well % color=[0.290196090936661,0.560784339904785,0.709803938865662;0.293725490570068,0.559215724468231,0.713464081287384;0.297254920005798,0.557647109031677,0.717124223709106;0.300784319639206,0.556078433990478,0.720784306526184;0.304313749074936,0.554509818553925,0.724444448947906;0.307843148708344,0.552941203117371,0.728104591369629;0.311372548341751,0.551372587680817,0.731764733791351;0.314901977777481,0.549803972244263,0.735424876213074;0.318431377410889,0.548235297203064,0.739084959030151;0.321960806846619,0.54666668176651,0.742745101451874;0.325490206480026,0.545098066329956,0.746405243873596;0.329019606113434,0.543529450893402,0.750065386295319;0.332549035549164,0.541960835456848,0.753725528717041;0.336078435182571,0.540392160415649,0.757385611534119;0.339607864618301,0.538823544979096,0.761045753955841;0.343137264251709,0.537254929542542,0.764705896377564;0.346666663885117,0.535686314105988,0.768366038799286;0.350196093320847,0.534117698669434,0.772026181221008;0.353725492954254,0.532549023628235,0.775686264038086;0.357254922389984,0.530980408191681,0.779346406459808;0.360784322023392,0.529411792755127,0.783006548881531;0.364313721656799,0.527843177318573,0.786666691303253;0.367843151092529,0.526274561882019,0.790326833724976;0.371372550725937,0.52470588684082,0.793986916542053;0.374901980161667,0.523137271404266,0.797647058963776;0.378431379795074,0.521568655967712,0.801307201385498;0.381960779428482,0.520000040531158,0.80496734380722;0.385490208864212,0.518431425094604,0.808627486228943;0.38901960849762,0.516862750053406,0.81228756904602;0.39254903793335,0.515294134616852,0.815947711467743;0.396078437566757,0.513725519180298,0.819607853889465;0.431372553110123,0.426143825054169,0.546405255794525;0.466666698455811,0.338562101125717,0.273202627897263;0.501960813999176,0.250980406999588,0;0.418300688266754,0.292810469865799,0;0.33464053273201,0.33464053273201,0;0.250980406999588,0.376470625400543,0;0.167320266366005,0.418300688266754,0;0.083660133183002,0.460130751132965,0;0,0.501960813999176,0;0.107563026249409,0.537815153598785,0.107563026249409;0.215126052498817,0.573669493198395,0.215126052498817;0.322689086198807,0.609523832798004,0.322689086198807;0.430252104997635,0.645378172397614,0.430252104997635;0.537815153598785,0.681232511997223,0.537815153598785;0.645378172397614,0.717086851596832,0.645378172397614;0.752941191196442,0.752941191196442,0.752941191196442;0.767474055290222,0.767474055290222,0.767474055290222;0.782006919384003,0.782006919384003,0.782006919384003;0.796539783477783,0.796539783477783,0.796539783477783;0.811072647571564,0.811072647571564,0.811072647571564;0.825605571269989,0.825605571269989,0.825605571269989;0.84013843536377,0.84013843536377,0.84013843536377;0.85467129945755,0.85467129945755,0.85467129945755;0.869204163551331,0.869204163551331,0.869204163551331;0.883737027645111,0.883737027645111,0.883737027645111;0.898269891738892,0.898269891738892,0.898269891738892;0.912802755832672,0.912802755832672,0.912802755832672;0.927335619926453,0.927335619926453,0.927335619926453;0.941868543624878,0.941868543624878,0.941868543624878;0.956401407718658,0.956401407718658,0.956401407718658;0.970934271812439,0.970934271812439,0.970934271812439;0.98546713590622,0.98546713590622,0.98546713590622;1,1,1]; % imwrite(Map, 'test_image.jpg', 'jpg'); % colormap(color);