How can I use a filter in a parfor with the more numerically stable z,p,k?
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Hello,
I would like to use a filter in a parfor loop. Using [b,a] coefficients there is no problem. Because of a better stability I have to use the [z,p,k] coefficients. It perfectly works in a for loop. However, in a parfor loop the error massage "Not enough input arguments." appears. Does anyone know a workaround?
Here is a little example: Anything works but the last loop!
% Signal
x = sin(0:pi/1000:10*pi);
% Filter properties
N = 1;
fc = 1/(2*pi);
fs = 1000/pi;
Wn = fc/(fs/2);
ftype = 'low';
% Transfer Function design
[b,a] = butter(N,Wn,ftype);
% Zero-Pole-Gain design
[z,p,k] = butter(N,Wn,ftype);
[sos,g] = zp2sos(z,p,k);
hd = dfilt.df2tsos(sos, g);
%%Loops
for n=1:2
y = filter(b,a,x);
end
parfor n=1:2
y = filter(b,a,x);
end
for n=1:2
y = filter(hd, x);
end
parfor n=1:2
y = filter(hd, x);
end
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