Accelerometry design filter and outline
1 visualización (últimos 30 días)
Mostrar comentarios más antiguos
Julio Martín
el 2 de Nov. de 2021
Comentada: Star Strider
el 3 de Nov. de 2021
Hi, would like to ask 2 vinculated questions:
1) Need to know wich is the right design for an accelerometry filter
I have desing one myself, (attending several researches):
Fs = 100; % Sampling Frequency
- Fstop1 = 2; % First Stopband Frequency
- Fpass1 = 3; % First Passband Frequency
- Fpass2 = 7; % Second Passband Frequency
- Fstop2 = 8; % Second Stopband Frequency
- Astop1 = 60; % First Stopband Attenuation (dB)
- Apass = 1; % Passband Ripple (dB)
- Astop2 = 80; % Second Stopband Attenuation (dB)
- match = 'stopband'; % Band to match exactly
Is this right?
2) The result can be seen in ths plot:
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/787780/image.jpeg)
I have already smoothed the data, but as you can see, there are still many peaks. Is there anyway to outline better those peaks
Thank you
4 comentarios
Star Strider
el 3 de Nov. de 2021
The Accept button does not appear because I posted it as a Comment, not an Answer. I have now posted it as an Answer, so it can now be accepted.
Thank you!
.
Respuesta aceptada
Star Strider
el 3 de Nov. de 2021
Consider decreasing ‘Fpass2’ and ‘Fstop2’ since they are obviously not filtering out the high-frequency noise.
To design the filter a bit more scientifically, calculate the fft of the time-domain signal first, then use that information to determine the optimal filter passband and stopband frequencies. (Since the signal may have a d-c offset, subtract the mean of the signal first, before claculating the fft, to show the other peaks more clearly.)
2 comentarios
Más respuestas (0)
Ver también
Categorías
Más información sobre Filter Analysis en Help Center y File Exchange.
Productos
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!