How to normalize time periods
44 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Hinde essmahi BOUZIANE
le 20 Juin 2019
Commenté : Aravind Ravikumar
le 20 Juin 2019
I am very new to matlab and I don't know how to code this problem.I have two arrays: Debut and End. Each array contains doubles that indicates the start(Debut) or the end(End) of a certain period.I am doing some signal processing so I want all these periods be normalised. I am thinking of calculating the mean of all periods and then normalize each period to that mean ? or do you have any other ideas ?
0 commentaires
Réponse acceptée
Aravind Ravikumar
le 20 Juin 2019
Modifié(e) : Aravind Ravikumar
le 20 Juin 2019
MATLAB has a normalize function, you can view the documentation here. From your description of your problem, you can first calculate the mean of the arrays Debut and End element-wise and then use normalize() on the resultant array. For example, the following code does somewhat similar to what you want:
x = rand(1,10);
y = rand(1,10);
avg = (x+y)/2;
norm_avg = normalize(avg);
where x,y are 2 arrays, avg is the element-wise average of x,y and norm_avg is the result after using normalize() on avg.
6 commentaires
Aravind Ravikumar
le 20 Juin 2019
You could keep normalized values of each array separately in some other array, and to calculate normalized value of the difference you can use the original array.
x = rand(1,10);
y = rand(1,10);
diff = y-x;
res_nor = diff ./ max(diff)
x_nor = x ./ max(x)
y_nor = y ./ max(y)
Maybe something like the above code.
Plus de réponses (1)
Akshay Malav
le 20 Juin 2019
Hi , there is a inbuilt function in matlab to normalize the data . Look at the link mentioned below .
The function is V = normalize(A)
V will contain the normalized value of the array A
3 commentaires
Akshay Malav
le 20 Juin 2019
Ans also adding to above answer the normalize function ignores NaN values if it is present in your array
Voir également
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!