How to design FIR Filter with weights
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In an active noise cancellation (ANC) system using adaptive filtering, the desired response d(n) of the adaptive filter is the combination of the biomedical signals , and a noise derived from the reference input x(n), which is the ambient noise, after passing an unknown system. Here we consider the unknown system as a five-point FIR filter with coefficients Wo= {0.1, 0.3, 0.5, 0.3 0.1}.
How to pass the x(n) signal through the FIR FILTER?
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ES
on 23 Apr 2014
if your input is x(n), output y(n)=W01*x(n)+W02*x(n-1)+W03*x(n-2)+W04*x(n-3)+W05*x(n-4);
You have to handle y(1) to y(4) because, for them x(n-1) to x(n-4) will not be available.
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