matlab,data-fitting , Matlab figures - remove filling from gaussian distributions


Matlab figures - remove filling from gaussian distributions

Question:

Tag: matlab,data-fitting

I am emulating a NAND Flash mlc and I am using hist() to display the results which are 4 gaussian distributions.

The problem is that I am trying to display 8 distributions at once one the same figure and they overlap. So, I want to find a way to remove the filling inside the gaussian distributions and only keep the outline. Is there a way to do this? I have found that maybe "basic fitting" option in Matlab can do this but it is "grey" and I cannot select it on this figure.

--

Well I tried adding a simple a picture which can explain everything but I could not due to my reputation.

I am working in FPGA(ZedBoard) in order to create the emulation but that has nothing to do with the question I am asking.

So, I get an input file with single-precision values out of ZedBoard, which then I insert in Matlab and get the figure I am talking about. I would not think that my code in Matlab could help in any way that is why I did not put it.

Although, I should have mentioned that the eight distributions have almost the exact same characteristics so they appear almost on the same place. This is why I am looking a way to display them properly. These "hists" below have to appear on the same figure without overlapping on each other. Normally, when Matlab is displaying gaussian distributions with "hist" uses a blue filling which I want to remove and only leave the outlining of the distribution if possible. I hope I have given a better view of my problem with this added.

fid1 = fopen('soft_without.txt');   
A = textscan(fid1,'%s');
B = char(A{1});
fclose (fid1);
output = typecast(uint32(hex2dec(B)),'single');
hist(output,1000);

fid2 = fopen('soft_with.txt');   
A = textscan(fid2,'%s');
B = char(A{1});
fclose (fid2);
output1 = typecast(uint32(hex2dec(B)),'single');
hist(output1,1000);

Answer:

Let's first put all the data into one dataset, rather than having a bunch of different variables:

filenames = ls('*.txt');  % or whatever you do to make up your list of files
data = zeros(1000, 8);  %preallocate

% going to use first file to set location of bins so they're all the same
fid = fopen(filenames(1,:))
A = textscan(fid,'%s');  
B = char(A{1});
fclose(fid);
output = typecast(uint32(hex2dec(B)),'single');
[x, bins] = hist(output,1000);
data(:,1) = x;

% set rest to same bins

for n = 2:8
    fid = fopen(filenames(n,:))
    A = textscan(fid,'%s');  
    B = char(A{1});
    fclose(fid);
    output = typecast(uint32(hex2dec(B)),'single');
    x = hist(output,bins);
    data(:,n) = x;
end

bar(bins,data);

This will plot your eight sets as eight different (side by side) bars. Another route would be to plot the over the top of each other but set different edge colors and no face color (possibly also experiment with changing width).

colors = jet(8); % eight colors from the jet colormap
figure; hold on;
for n = 1:8
    bar(bins,data(:,n),'facecolor','none','edgecolor', colors(n,:));
end

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