Distortion at end of signal after low pass filtering
16 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
Impala
el 13 de Dic. de 2019
Comentada: Impala
el 16 de Dic. de 2019
Hi,
I have created a low pass filter with the following properties to smooth out my signal:
function Hd = lpfilt
%LPFILT Returns a discrete-time filter object.
% MATLAB Code
% Generated by MATLAB(R) 9.5 and Signal Processing Toolbox 8.1.
% Generated on: 13-Dec-2019 17:10:56
% Butterworth Lowpass filter designed using FDESIGN.LOWPASS.
% All frequency values are in Hz.
Fs = 10; % Sampling Frequency
Fpass = 0.45; % Passband Frequency
Fstop = 0.55; % Stopband Frequency
Apass = 1; % Passband Ripple (dB)
Astop = 60; % Stopband Attenuation (dB)
match = 'stopband'; % Band to match exactly
% Construct an FDESIGN object and call its BUTTER method.
h = fdesign.lowpass(Fpass, Fstop, Apass, Astop, Fs);
Hd = design(h, 'butter', 'MatchExactly', match);
% [EOF]
I then apply my filter to my signal using the following syntax:
y = filtfilt(SOS,G,x) % SOS and G are filter parameters
This is what the result looks like (see figure below - black - original unfiltered signal; red - filtered signal). The filter is smoothing the signal fine except for the start and end of the signal where it doesn't quite follow the original. Its worse at the end - appears to be distorted i.e. going upwards - is there a way to correct for this?
Thanks!
![FilterSignal.jpg](https://www.mathworks.com/matlabcentral/answers/uploaded_files/254371/FilterSignal.jpeg)
0 comentarios
Respuesta aceptada
Piyush Dubey
el 16 de Dic. de 2019
When filtering a signal the output signal is shifted in time with respect to the input and sometimes the filter delays some frequency components more than others. This link describes on how to compensate for delay and distortion.
3 comentarios
Piyush Dubey
el 16 de Dic. de 2019
Can you try increasing the order of the filter?
d1 = designfilt('lowpassiir','FilterOrder',12, ...
'HalfPowerFrequency',0.15,'DesignMethod','butter');
y_new = filtfilt(d1,posY);
p1 = plot(y_new);
hold('on');
p2 = plot(posY);
p3 = plot(posY_filt);
legend([p1; p2; p3], ["New filter"; "Actual signal"; "Old Filter"])
I was able to reduce the distortion with the above snippet.
Más respuestas (0)
Ver también
Categorías
Más información sobre Filter Analysis en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!