Remove for loop and reduce time
3 visualizzazioni (ultimi 30 giorni)
Mostra commenti meno recenti
I want to reduce the running time of my code. I found that most of the time in my code is spent in this loop, as this loop is invoked multiple times in my code. Is there anyway to reduce time?? Code explanation: ac1 is an acceleration matrix having values ranging from -10 to 10. I am using discretize function to group different acceleration values into different bins, represented by edges_a. Now, I have to find how many values are there in each bin and store those values in the fourth column of acc_dis matrix.
Here is the code:
if true
edges_a=min(ac1):1.25:max(ac1);
grp_ac=discretize(ac1,edges_a);
for i=1:length(edges_a)
acc_dis(i,4)=sum(grp_ac==i);
end
end
5 Commenti
Risposta accettata
Guillaume
il 29 Giu 2018
Points for using discretize instead of writing your own loop for that. The thing is, what you really want is the histogram and there's also a function for that: histcounts:
edges_a = min(ac1):1.25:max(ac1);
h = histcounts(ac1, edges_a);
acc_dis(1:numel(h), 4) = h;
Note: I don't know how many rows acc_dis has. Hopefully at least enough. If it already has the correct number of rows, that last line can be simplified to:
acc_dis(:, 4) = h;
Note 2: If you still need grp_ac, then:
[h, ~, grp_ac] = histcounts(ac1, edges_a);
Più risposte (1)
Nithin Banka
il 29 Giu 2018
Modificato: Nithin Banka
il 29 Giu 2018
if true
edges_a=min(ac1):1.25:max(ac1);
grp_ac=discretize(ac1,edges_a);
len = length(edges_a);
auxArr = zeros(len, 1));
len1 = length(grp_ac);
for i=1:len1
if(grp_ac(i)<=len&grp_ac(i)>=1)
auxArr(grp_ac(i)) = auxArr(grp_ac(i)) + 1;
end
end
acc_dis(1:len, 4) = auxArr;
end
I think this should help.
3 Commenti
Nithin Banka
il 29 Giu 2018
The code you used runs through grp_ac in every iteration in the 'grp_ac==i' command. That will make it kind of for loop inside a for loop.
Vedere anche
Categorie
Scopri di più su Loops and Conditional Statements in Help Center e File Exchange
Prodotti
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!