How can I run Code for Discrete time fourier transform of x[n] = a^u[n] where |a|<1
Afficher commentaires plus anciens
kindly provide MATLAB code for this queston.
Réponses (1)
TED MOSBY
le 25 Juin 2025
Hi,
For the specific signal
, where u[n] is the unit step function (meaning u[n]=1 for n≥0 and u[n]=0 for n<0), the sum starts from n=0:
, where u[n] is the unit step function (meaning u[n]=1 for n≥0 and u[n]=0 for n<0), the sum starts from n=0:This is a geometric series. A geometric series
converges to 1/(1-r) if ∣r∣<1. In our case,
. The series converges when
. Since
for any real ω, this condition simplifies to ∣a∣<1. If this condition is met, the sum of the series is:
. The series converges when
. Since
for any real ω, this condition simplifies to ∣a∣<1. If this condition is met, the sum of the series is:a = 0.8; % Choose a value for 'a' such that |a| < 1.0
N = 50;
omega = -pi:0.01:pi;
% 1. Generate the discrete-time signal x[n] = a^n u[n]
n = 0:N-1;
x_n = a.^n;
% 2. Compute the DTFT
X_jw_analytical = 1 ./ (1 - a * exp(-1i * omega));
% 3. Approximate the DTFT using Fast Fourier Transform
L = 1024; % Length of the DFT. Should be greater than N.
X_k = fft(x_n, L);
f_dft = (0:L-1) * (2*pi/L); % Frequency axis
f_dft_shifted = fftshift(f_dft - pi); % Shift to -pi to pi
X_k_shifted = fftshift(X_k);
% 4. You can now proceed to plotting the Magnitude and Phase Responses
Hope this helps!
1 commentaire
The expression for f_dft_shifted appears to be incorrect.
a = 0.8; % Choose a value for 'a' such that |a| < 1.0
N = 50;
omega = -pi:0.01:pi;
% 1. Generate the discrete-time signal x[n] = a^n u[n]
n = 0:N-1;
x_n = a.^n;
% 2. Compute the DTFT
X_jw_analytical = 1 ./ (1 - a * exp(-1i * omega));
% 3. Approximate the DTFT using Fast Fourier Transform
L = 1024; % Length of the DFT. Should be greater than N.
X_k = fft(x_n, L);
f_dft = (0:L-1) * (2*pi/L); % Frequency axis
f_dft_shifted = fftshift(f_dft - pi); % Shift to -pi to pi
X_k_shifted = fftshift(X_k);
% 4. You can now proceed to plotting the Magnitude and Phase Responses
plot(omega,abs(X_jw_analytical),f_dft_shifted,abs(X_k_shifted))
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