Design a low pass filter using kaiser window
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I need to setup a FIR filter for a signal with pass band cutoff 3.2 Hz, stop band cutoff 4.8 Hz, pass band ripple 0.1 dB, stop band attenuation 44 dB and sample frequency 16 Hz
After reading the documentation I tried this. Is the implementation correct?
[n,Wn,beta,ftype] = kaiserord([3.2 4.8],[1 0],...
[0.1 44],16);
b = fir1(n,Wn,ftype,kaiser(n+1,beta),'noscale');
c = kaiserord([3.2 4.8],[1 0],[0.1 44],16,'cell');
bcell = fir1(c{:});
hfvt = fvtool(b,1,bcell,1);
legend(hfvt,'b','bcell');
Accepted Answer
More Answers (1)
Star Strider
on 16 Dec 2016
1 vote
For what it’s worth, it seems to me to do what you designed it to do. In the fvtool GUI, you need to open the ‘Analysis’ tab and enter your sampling frequency (the last item in the drop-down menu) to verify the frequencies of the passband and stopband.
2 Comments
Gehan Kavinda
on 16 Dec 2016
Edited: Gehan Kavinda
on 16 Dec 2016
Star Strider
on 16 Dec 2016
The frequencies you calculated from the radian frequencies are approximately correct (you rounded them to the nearest 0.1). By that criterion, the filter is correct. I don’t recognise the notation of ‘Ap’ and ‘Aa’, so I assume you interpreted them correctly. (I can’t find my copy of Antoniou just now.) Your filter has about 40 dB stopband ripple and about 20 dB stopband attenuation. I didn’t specifically measure the passband ripple, but it looks correct.
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