Clear Filters
Clear Filters

Accelerometry design filter and outline

1 view (last 30 days)
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:
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 Comments
Julio Martín
Julio Martín on 3 Nov 2021
Does not appear accept button, do you know why?
Star Strider
Star Strider on 3 Nov 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!
.

Sign in to comment.

Accepted Answer

Star Strider
Star Strider on 3 Nov 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.)

More Answers (0)

Products

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!