Part 1:
Write a function FIR_freq_resp_single that computes the frequency response hfd for a given impulse response h[n] and a given frequency fd. Start your function implementation as follows function H — FIR_freresp_single(h, f d) % FIR_freqresp_single - compute frequency response from impulse response at single frequency
% H — FIR_freq_resp_single(h, fd)
% Input Variables:
% h - vector, samples of the impulse response of the filter
% fd — scalar, normalized frequency to compute frequency
response at (0 <= fd < 0.5)
% Output Variable:
% H - complex scalar, frequency response at frequency fd
Verify that your function works correctly using the following test script. The total error you observe must be very, very close to zero.
%% Test case: 3-pt averager
% expected values at four frequencies
f = [0, 1, 2, 3)16;
expected — [1, 2/3*exp(—lj*pi/3), 0, 1/3];
% coefficients for 3-py averager
M — 3;
b = ones(1, 3)13;
$ compute sum of absolute errors — should be very close to zero
sum_errors — 0;
for n = 1:4
sum_errors += abs(expected(n) - FIR_freq_resp_single(b, f(n)));
end
printf (“Total absolute error: %g”, sum_errors)
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