1. A signal can be represented in (a) time domain (c) both (a) and (b) (b) frequency domain (d) none of these

Computer Networking: A Top-Down Approach (7th Edition)
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Chapter1: Computer Networks And The Internet
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C-
1. A signal can be represented in
(a) time domain
(b) frequency domain
(d) none of these
(c) both (a) and (b)
2. 8(n) =
(a) u(n) + u(n - 1)
(c) u(n)-u(n-1) (d) u(n- 1)- u(n)
(b) u(n) u(n – 1)
(d) u(n – 1)- un)
3. A non-anticipative system is a
|(a) static system
(c) causal system (d) non-causal system
(b) dynamie system
4. y(n) x(-n) is for a
(a) non-causal system
(b) linear, causal, time-invariant system
(c) lincar, non-causal, time-invariant system
(d) lincar, non-causal, time varying, dynamic system
5. y(n) - x(n) u(n) is for a
(a) static, linear system
(c) both (a) and (b)
(b) causal, time-invariant system
(d) none of these
6. For a causal system excited by a non causal input. Range of K for x(n-k)
a)-co to o
C)0 to n
b) -o to n
d) 0 to co
Transcribed Image Text:C- 1. A signal can be represented in (a) time domain (b) frequency domain (d) none of these (c) both (a) and (b) 2. 8(n) = (a) u(n) + u(n - 1) (c) u(n)-u(n-1) (d) u(n- 1)- u(n) (b) u(n) u(n – 1) (d) u(n – 1)- un) 3. A non-anticipative system is a |(a) static system (c) causal system (d) non-causal system (b) dynamie system 4. y(n) x(-n) is for a (a) non-causal system (b) linear, causal, time-invariant system (c) lincar, non-causal, time-invariant system (d) lincar, non-causal, time varying, dynamic system 5. y(n) - x(n) u(n) is for a (a) static, linear system (c) both (a) and (b) (b) causal, time-invariant system (d) none of these 6. For a causal system excited by a non causal input. Range of K for x(n-k) a)-co to o C)0 to n b) -o to n d) 0 to co
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