. Given the
following non-periodic signal:
x(t) = 3 e-5t cos(12t)
u(t)
Find the Fourier transform expression X(ω) without
using Table.
Calculate the magnitude spectrum of X(ω) for ω = π/8, π/4, and
π/2
Given a sinusoidal signal:
x(t) = Asin(2πft)
Find Fourier Transform (FT) of the sinusoidal x(t) given above
and plot the spectrum with:
a. A = 2, f = 1000Hz
b. A = 2, f = 9000Hz
c. A = 5, f = 1000Hz
d. A = 10, f = 10000Hz
Using Matlab Simulink, find Fourier transform of the following
signal;
?(?) = 2 + ∑
1 ?
sin (20???)
4
?=1
.
Set simulation stop time = 20 seconds, sample time = (1/1024)
seconds, buffer size =1024, and frequency range in Hz for the
vector scope is −100 ≤ ? ≤ 100
One period of a real-time signal x(t) =2Sin(20*pi*t) , starting
at t=0, has to be processed in a 4-bit digital computer. The A/D
card have a sampling frequency of 55Hz and the input range is +/-
2Volts.
i) What are the values recorded in the sampled signal x[n] ?
ii)What is the resulting quantized signal?
iii)What is the resulting digitized/coded signal?
iv)If the sampled signal x[n] was filtered using a moving
average filter of length 3 , what would the...
Based on fourier series
Q1: how to determine if a signal function x(t) is
periodic and ac. And what happens if there is x(t) = sint + cost +
sint? How would we know if ac/periodic?
Q2: What is fourier series and fourier
coefficients?
Q3: What is Fourier Trigonometric Series?
Consider the following periodic signal : x(t)=∑∞n=−∞Π(t−4n2). 1.
Determine and plot the spectrum Fourier Transform of signal x(t) (
For plot : Use only interval n=-2 to n=2). 2. Based on the result
obtained in part one. Determine Complex Exponential Fourier Series,
and trigonometric Fourier Series. 3. Evaluate the energy spectral
density of the periodic signal x(t) in rang (n=-2 to n=2)
use matlab
y(t)=10*(cos(2*pi*500*t)+cos(2*pi*1000*t)+
cos(2*pi*1500*t)).
e) Down sample y(t) by a factor of 6. Sketch the Fourier
transform with appropriate frequency axis. Check if all frequency
components are correct?
Up-sample the time-domain signal obtained in e) by a factor of
6. Use appropriate filter for interpolation. Sketch the Fourier
transform of the up-sampled and filtered signal. Does the resulting
signal show all frequency components of the original signal
y(t)?
use matlab
y(t)=10*(cos(2*pi*500*t)+cos(2*pi*1000*t)+
cos(2*pi*1500*t)).
e) Down sample y(t) by a factor of 6. Sketch the Fourier
transform with appropriate frequency axis. Check if all frequency
components are correct?
Up-sample the time-domain signal obtained in e) by a factor of
6. Use appropriate filter for interpolation. Sketch the Fourier
transform of the up-sampled and filtered signal. Does the resulting
signal show all frequency components of the original signal
y(t)?