Using the lowpass function
7 views (last 30 days)
Show older comments
In using the lowpass function, how can you suppress the display after? (The default implementation outputs plots of the time-domain signal and power spectrum, comparing the original signal to the filtered one.) Also, are there any good rules of thumb for selecting the passband frequency and steepness? I feel like the latter should be as high as possible.
0 Comments
Accepted Answer
Star Strider
on 7 Jul 2022
The lowpass function does not display anything unless you leave the trailing seimcolon off of the lowpass call. It will design a very good elliptic filter if you inclued the name-value pair 'ImpulseResponse','iir.
2 Comments
Star Strider
on 7 Jul 2022
My pleasure!
It is possible to design those specifically with the designfilt funciton, however not with lowpass. It designs a very good generic elliptic filter if you ask it to. The passband frequency is entirely dependent on the signal being filtered, and the best way to determine that is with a Fourier transform.
Example —
t = linspace(0, 20, 250); % Time Vector
s = sum(sin([1:5]'*2*pi*t)); % Signal Vector
Fs = 1/(t(2)-t(1)); % Sampling Frequency
Fn = Fs/2; % Nyquist Frequency
figure
plot(t, s)
grid
xlabel('t')
ylabel('s')
title('Original Signal')
L = numel(t);
NFFT = 2^nextpow2(L);
FTs = fft(s, NFFT)/L;
Fv = linspace(0, 1, NFFT/2+1)*Fn;
Iv = 1:numel(Fv);
figure
plot(Fv, abs(FTs(Iv))*2)
grid
xlabel('Frequency')
ylabel('Amplitude')
s_filt = lowpass(s, 1.5, Fs, 'ImpulseResponse','iir'); % Set Stopband = 1.5 Hz
figure
plot(t, s_filt)
grid
xlabel('t')
ylabel('s')
title('Lowpass Filtered Signal')
.
More Answers (1)
Paul
on 8 Jul 2022
The only way to suppress the plot output is to specify at least one output argument (or use lowpass() in an expression, like 1*lowpass(...) )
If calling lowpass() alone without output arguments, why would you want the plots suppressed?
0 Comments
See Also
Categories
Find more on Signal Processing Toolbox in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!