Matlab fitting method to optimize the SNR in the frequency response curve to identify high error frequencies
3 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
venkat ta
am 10 Jan. 2023
Kommentiert: Mathieu NOE
am 12 Jan. 2023
[stmfile,stmpath]=uigetfile('*mat','pick the mat file');
File = fullfile(char(stmpath),char(stmfile));
load(File);
[~,fileName,~] = fileparts(char(File)); % e.g., file is 'dp600_2_layers_L50.xlsx'
semilogx(No_smooth_x,'r-');hold on
grid on
grid minor
xlabel('Frequency(Hz)','FontSize',20)
set(gca,'FontSize',20);
0 Kommentare
Akzeptierte Antwort
Mathieu NOE
am 11 Jan. 2023
hello
this will reduce your plot noise but maybe you should improve the measurement method first ?
load('Noise.mat');
smooth_x = smoothdata(No_smooth_x,'gaussian',500);
% keep original data below f = 500 Hz
smooth_x(1:500) = No_smooth_x(1:500);
semilogx(No_smooth_x,'r-');hold on
semilogx(smooth_x,'b-');hold on
grid on
grid minor
xlabel('Frequency(Hz)','FontSize',20)
set(gca,'FontSize',20);
4 Kommentare
Weitere Antworten (0)
Siehe auch
Kategorien
Mehr zu Parametric Spectral Estimation finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!