In this example, we'll perform spectrum analysis on a *complex*
sinusoid having only a single positive frequency. We'll use the
*Hann window* (also known as the *Hanning window*)
which does not have as much sidelobe suppression as the Blackman
window, but its main lobe is narrower. Its sidelobes ``roll off''
very quickly versus frequency. Compare with the Blackman window
results to see if you can see these differences.

The Matlab script for synthesizing and plotting the Hann-windowed sinusoid is given below:

% Analysis parameters: M = 31; % Window length N = 64; % FFT length (zero padding factor near 2) % Signal parameters: wxT = 2*pi/4; % Sinusoid frequency (rad/sample) A = 1; % Sinusoid amplitude phix = 0; % Sinusoid phase % Compute the signal x: n = [0:N-1]; % time indices for sinusoid and FFT x = A * exp(j*wxT*n+phix); % complex sine [1,j,-1,-j...] % Compute Hann window: nm = [0:M-1]; % time indices for window computation % Hann window = "raised cosine", normalization (1/M) % chosen to give spectral peak magnitude at 1/2: w = (1/M) * (cos((pi/M)*(nm-(M-1)/2))).^2; wzp = [w,zeros(1,N-M)]; % zero-pad out to the length of x xw = x .* wzp; % apply the window w to signal x figure(1); subplot(1,1,1); % Display real part of windowed signal and Hann window plot(n,wzp,'-k'); hold on; plot(n,real(xw),'*k'); hold off; title(['Hann Window and Windowed, Zero-Padded, ',... 'Sinusoid (Real Part)']); xlabel('Time (samples)'); ylabel('Amplitude');The resulting plot of the Hann window and its use on sinusoidal data are shown in Fig.8.7.

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