matlab code to find mean, median and standard deviation of a series of data in discrete time wavelet
26 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
what is the matlab code to find mean, median and standard deviation of a series of data in discrete time wavelet platform. This data is phase currents in a machine.This is either in time series formate or in stuctured with time .
0 commentaires
Réponses (1)
Ayush
le 10 Juil 2024
Hi,
To find the mean, median, and standard deviation of a series of data, you can make use of inbuilt functions "mean", "median", and "std", respectively. If your data is structured with time, such as a timetable, you can extract the relevant variable and perform the same calculations. Refer to an example implementation below:
% Sample data: phase currents in a machine with time (example data)
% Replace this with your actual data
time = datetime(2023,10,1,0,0,0):minutes(1):datetime(2023,10,1,0,9,0);
phase_currents = [1.2, 2.3, 2.1, 1.8, 2.5, 2.7, 1.9, 2.2, 2.4, 2.6]';
data = timetable(time', phase_currents);
% Extract the phase currents
currents = data.phase_currents;
% Calculate mean
mean_value = mean(currents);
% Calculate median
median_value = median(currents);
% Calculate standard deviation
std_deviation = std(currents);
% Display the results
fprintf('Mean: %.2f\n', mean_value);
fprintf('Median: %.2f\n', median_value);
fprintf('Standard Deviation: %.2f\n', std_deviation);
For more information on "mean", "median", and "std" functions, refer to the below documentations:
0 commentaires
Voir également
Catégories
En savoir plus sur Continuous Wavelet Transforms dans Help Center et File Exchange
Produits
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!