
Design a low pass filter using kaiser window
16 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Gehan Kavinda
am 16 Dez. 2016
Beantwortet: John BG
am 18 Dez. 2016
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');
0 Kommentare
Akzeptierte Antwort
John BG
am 18 Dez. 2016
Like Start Strider points out you can manually key in filter parameter in the fvtool GUI, but can also key in all fvtool parameters in a single MATLAB line:
LpFilt = designfilt('lowpassfir', ...
'PassbandFrequency',0.2, ...
'StopbandFrequency',30, ...
'PassbandRipple',0.1, ...
'StopbandAttenuation',44, ...
'SampleRate',100, ...
'DesignMethod','kaiserwin');
figure(1);fvtool(LpFilt)

the following filters test noise through this LPF .
dataIn = rand(1000,1);
dataOut = filter(LpFilt,dataIn);
subplot(2,1,1);plot(dataIn);title('input noise')
subplot(2,1,2);plot(dataOut);title('LPF Kai filtered noise')
.
would it be possible to let us the readers know what book are these exercises from?
.
if you find these lines useful would you please mark my answer as Accepted Answer?
To any other reader, please if you find this answer of any help, please click on the thumbs-up vote link,
thanks in advance for time and attention
John BG
0 Kommentare
Weitere Antworten (1)
Star Strider
am 16 Dez. 2016
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 Kommentare
Star Strider
am 16 Dez. 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.
Siehe auch
Kategorien
Mehr zu Kaiser finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
