Weird Behavior Of Replacing Data Array In a Certain Range ...

Hi, Community

I want to ask about how to delete array data with a certain range. So i have this code below :

the_noising_gauss_ori = vertcat(transpose(noising_gauss_ori)); %Other related variable was sucessfully linked
mov_remove_gauss_ori_pos = the_noising_gauss_ori >= 2; %Other related variable was sucessfully linked
mov_remove_gauss_ori_neg = the_noising_gauss_ori <= -2; %Other related variable was sucessfully linked
detecting_noise_pos = the_noising_gauss_ori < 2; %Other related variable was sucessfully linked  
detecting_noise_neg = the_noising_gauss_ori > -2; %Other related variable was sucessfully linked
gaussian_filter = imgaussian(graph_gauss_ori, zigm, [l_wak 1]); %Other related variable was sucessfully linked

if ~isempty(mov_remove_gauss_ori_neg) || ~isempty(mov_remove_gauss_ori_neg)    
    the_original_sinyal2(detecting_noise_pos) = nan;
    the_original_sinyal2(detecting_noise_neg) = nan;
    the_original_sinyal1(mov_remove_gauss_ori_pos) = gaussian_filter(mov_remove_gauss_ori_pos);
    the_original_sinyal1(mov_remove_gauss_ori_neg) = gaussian_filter(mov_remove_gauss_ori_neg);
end

When i run that code, the variable array of the_original_sinyal1(mov_remove_gauss_ori_pos) and the_original_sinyal1(mov_remove_gauss_ori_neg) is good, it can be replaced with its relative data from gaussian_filter(mov_remove_gauss_ori_pos) and gaussian_filter(mov_remove_gauss_ori_neg).... How ever, the variable array of the_original_sinyal2(detecting_noise_pos) and the_original_sinyal2(detecting_noise_neg) cannot filter the data with that range (the_noising_gauss_ori < 2 or the_noising_gauss_ori > -2) and just shown as NaN data for all of the_original_sinyal2 variable....

How to fix my problem, anyone. I just want to replace the_original_sinyal2 variable with a same rows as the_noising_gauss_ori < 2 or the_noising_gauss_ori > -2 as NaN.... Thank you very much...

Answer 1

[Voss]

Any (real) number is either less than 2 or greater than -2 (or both). Therefore detecting_noise_pos | detecting_noise_neg is all true. Hence, the_original_sinyal2 is all NaN after doing this:

 the_original_sinyal2(detecting_noise_pos) = nan;
 the_original_sinyal2(detecting_noise_neg) = nan;

[Tyann Hardyn]

Ohhh... Im just aware of that weird... So how to filter data in range of -2< the_noising_gauss_ori <2 as my Detecting Noise Index (rownumber) so that the rownumber from that range data can be used as replacing index to my the_original_sinyal2 data, Sir?

[Voss]

I guess I would try this:

the_noising_gauss_ori = vertcat(transpose(noising_gauss_ori)); %Other related variable was sucessfully linked
mov_remove_gauss_ori_pos = the_noising_gauss_ori >= 2; %Other related variable was sucessfully linked
mov_remove_gauss_ori_neg = the_noising_gauss_ori <= -2; %Other related variable was sucessfully linked
detecting_noise_pos = the_noising_gauss_ori < 2; %Other related variable was sucessfully linked  
detecting_noise_neg = the_noising_gauss_ori > -2; %Other related variable was sucessfully linked
gaussian_filter = imgaussian(graph_gauss_ori, zigm, [l_wak 1]); %Other related variable was sucessfully linked

if any(mov_remove_gauss_ori_pos & mov_remove_gauss_ori_neg)
    the_original_sinyal2(mov_remove_gauss_ori_pos & mov_remove_gauss_ori_neg) = nan;
    the_original_sinyal1(mov_remove_gauss_ori_pos & mov_remove_gauss_ori_neg) = nan;
end

I can't say for sure since I do not have any of the data or know anything about the sizes of the variables.

[Tyann Hardyn]

Alright, i ll try it..

[Tyann Hardyn]

@Benjamin Its still wont allow me to get NaN data of the_original_sinyal2 in -2< the_noising_gauss_ori <2 numrow, Sir.... I already attached my Data, Take the column 3 from my data.

[Voss]

Sorry I should've said this:

the_noising_gauss_ori = vertcat(transpose(noising_gauss_ori)); %Other related variable was sucessfully linked
mov_remove_gauss_ori_pos = the_noising_gauss_ori >= 2; %Other related variable was sucessfully linked
mov_remove_gauss_ori_neg = the_noising_gauss_ori <= -2; %Other related variable was sucessfully linked
detecting_noise_pos = the_noising_gauss_ori < 2; %Other related variable was sucessfully linked  
detecting_noise_neg = the_noising_gauss_ori > -2; %Other related variable was sucessfully linked
gaussian_filter = imgaussian(graph_gauss_ori, zigm, [l_wak 1]); %Other related variable was sucessfully linked

if any(detecting_noise_pos & detecting_noise_neg)
    the_original_sinyal2(detecting_noise_pos & detecting_noise_neg) = nan;
end
if any(mov_remove_gauss_ori_neg | mov_remove_gauss_ori_pos)
    the_original_sinyal1(mov_remove_gauss_ori_neg | mov_remove_gauss_ori_pos) = gaussian_filter(mov_remove_gauss_ori_neg | mov_remove_gauss_ori_pos);
end

This will set the_original_sinyal2 to NaN wherever -2 < the_noising_gauss_ori < 2, and set the_original_sinyal1 equal to gaussian_filter wherever (the_noising_gauss_ori >= 2 OR the_noising_gauss_ori <= -2). Is this what is intended?

By the way, the third column of the data is all around 40000. If the third column represents the_noising_gauss_ori, then this code will set the_original_sinyal1 equal to gaussian_filter everywhere and will not change the_original_sinyal2. If that's what you observe and it looks wrong, then perhaps the data is not as you expect.

[Tyann Hardyn]

May Allah Bless You, It Works, Sir, Thank you so much.