Question

А
Define: 1) Deterministic and nondeterministic signals 2) Periodic and Aperiodic signals With
the help of examples.
Compute linear convolution of the causal sequence
x(n)={1,2,0,1,2,3), h(n)={2,2,1} using Overlap Add Method.
B
For a given discrete time signal x(n)
С
x(n) = 5 4 6 -1 2 1 -2
个
Ploti) x(n+4) ii) x(n-1)u(n) iii) x(-n)u(-n+1)
Obtain the linear convolution of two sequences defined as
x(n)=u(n)-u(n-3)
D
h(n)=u(n-1)+u(n-2)-un-4)-u(n-5)
E
x(n) is given. x(n)={1, 2, 3, 1} Perform FFT to convert signal from time domain to
frequency domain X[k]. Draw butterfly flow graph.
Explain any three properties of DFT.
F​

Answer 1

Explanation:

For a given discrete time signal x(n)

С

x(n) = 5 4 6 -1 2 1 -2

个

Ploti) x(n+4) ii) x(n-1)u(n) iii) x(-n)u(-n+1)

Obtain the linear convolution of two sequences defined as

x(n)=u(n)-u(n-3)

D

h(n)=u(n-1)+u(n-2)-un-4)-u(n-5)

E

x(n) is given. x(n)={1, 2, 3, 1} Perform FFT to convert signal from time domain to

frequency domain X[k]. Draw butterfly flow graph.

Explain any three properties of DFT.

F