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N U A N X: Write The Dirichlet's Conditions in Fourier Transformation

The document contains a series of questions related to signal processing, including definitions, transformations, and properties of various types of signals. It covers topics such as Fourier and Laplace transformations, periodic signals, and system characteristics like linearity and stability. The questions are structured to assess understanding of both theoretical concepts and practical applications in signal analysis.

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0% found this document useful (0 votes)
11 views2 pages

N U A N X: Write The Dirichlet's Conditions in Fourier Transformation

The document contains a series of questions related to signal processing, including definitions, transformations, and properties of various types of signals. It covers topics such as Fourier and Laplace transformations, periodic signals, and system characteristics like linearity and stability. The questions are structured to assess understanding of both theoretical concepts and practical applications in signal analysis.

Uploaded by

abhishek2018mdb
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as PDF, TXT or read online on Scribd
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Q1 Define the signal Q6 Find the z-transformation of the Q8 Find the Fourier transformation of

a) Periodic signal given signal: the given signal below:


b) Even and odd signal x(n) = a n u(n) x(t ) = e
−a t

Q2 Find the period of the signal Q9 Define the signal


a) 4cos3t + 5sin11t a) Even and odd signal
b) 6sin4t + 8cos13t b) Discrete signal

Q23 Find the Fourier transformation of


the given signal below:
x(t ) = e − at

Q3 Define: Q10 Write the properties of Properties


A) Power signal of periodic signal?
B) Energy signal

Q Find the Laplace transformation of


the signal:
x(t ) = e −5t u(t + 2)

Q4 Write the Dirichlet’s conditions in


Fourier Transformation

Q11 Find the period of the signal


a) cos3πt + 9sin2πt/4
b) cosπt/3 + 4sin7πt/4
Q7 Explain whether the system y(t) = x(2t - 3) is linear,
Q12 Find power of the given signal time-invariant, causal, and stable
Q Find the period of the signal
x(t) = 4cosπt + 6sin(π/2) t + 2cos3πt Ans :- y(t)=x(2t−3) i. 6sin4t + 8cos13t
Linearity A system is linear if it satisfies superposition and
homogeneity, i.e.: ii. cos3πt + 9sin2πt/4
If
x1(t)→y1(t),x2(t)→y2(t)
a1x1(t)+a2x2(t)→a1y1(t)+a2y2(t)
Apply to the system:Let y(t)=x(2t−3) Then for input
a1x1(t)+a2x2(t)
y(t)=a1x1(2t−3)+a2x2(2t−3)
This equals a1y1(t)+a2y2(t) So the system is linear
Time Invariance :- A system is time invariant if a time shift
in input causes an equivalent time shift in output .
let input x(t) = y(t)=x(2t-3)
now shift the input by t0 :
let x’(t) =x(t-t0) then system output becomes
y’(t) =x’(2t-3) =x(2t-3-t0)
Now shift the original output y(t)=x(2t−3) by t0
Q13 Find the R. O.C of y(t−t0)=x(2(t−t0)−3)=x(2t−2t0−3)
These are not equal unless t0=0
2 5
− So the system is Not Time-Invariant
S −3 s +8 Causality
A system is causal if the output at time ttt depends only on
the present and past values of the input (i.e., no future).
Here,
y(t)=x(2t−3)
At time t, the system requires input at 2t−3
If 2t−3>t, the system uses future input → non-causal
For example, at t=3: x(2∗3−3)=x(3)x
But at t=1: x(2−3)=x(−1) Q Find power of the given signal
At t=2t =2: x(1) (future for current time)
Since the system sometimes needs future input, it is not x(t) = 6cosπt + 3sin(π/2)t + 4cos3πt
causal
4. Stability
Q14 Find the Fourier coefficients of A system is BIBO stable if bounded input gives bounded
output.
given signal Assume input is bounded:
x(t) = 6sin2πt/3 + 4cos3πt/4 ∣x(t)∣≤ M ∀t
Then output:
y(t)=x(2t−3)⇒∣y(t)∣=∣x(2t−3)∣≤M
Because a bounded input remains bounded even when its
argument is scaled and shifted, the output stays bounded.
So the system is:Stable

Q15 Find the z-transformation of the


given signal: Q What is Power signal? give some
x(n) = a u(−n) n example of power signal

Find the Laplace transformation of the


Q5 Find the Laplace transformation of
signal:
the signal:
+5t x(t ) = e +5t u(t ) + e −2t u(t )
x(t ) = e u(t − 2)

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