Azzera filtri
Azzera filtri

LPF a random signal

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zozo
zozo il 18 Gen 2012
I have a random signal and its psd:
x=randn(1000,1);
Fs=4000;
pd = psd(spectrum.periodogram,u,'Fs',Fs);
plot(pd)
I want to remove the high frequency components(LPF or smooth), so that 'x' is close to practical/measured noise. Does this help?
y=filter(b,a,x);
What should be the coefficients 'b' and 'a' for my applciation? Please help

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Honglei Chen
Honglei Chen il 18 Gen 2012
You need to first determine what are the frequencies you want to keep and what are the frequencies you want to filter out. You can then use tools to help you design the filter.
Any DSP book will talk about the theory. For tools, take a look at the following documentation
doc fdatool
doc fdesign
Here is an example
x = rand(1024,1);
hd = design(fdesign.lowpass);
y = filter(hd,x);

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