1
GATE ECE 2026
MCQ (More than One Correct Answer)
+2
-0.67

Consider a real, narrowband signal $x(t)=A(t) \cos \left[2 \pi f_c t+\theta(t)\right]$ where the maximum frequency components of $A(t)$ and $\theta(t)$ are $f_M$ and $f_C\left(=1000 f_M\right)$, respectively. Which of the following statements is/are correct for $-\infty

A

$x(t)$ represents a PSK modulated signal for suitable choices of $A(t)$ and $\theta(t)$.

B

$x(t)$ represents an amplitude modulated signal for suitable choices of $A(t)$ and $\theta(t)$.

C

$x(t)$ represents a band-limited Gaussian noise process.

D

$x(t)$ never represents a narrowband FM signal.

2
GATE ECE 2023
MCQ (Single Correct Answer)
+2
-0.67

Let a frequency modulated (FM) signal $$x(t) = A\cos ({\omega _c}t + {k_f}\int_{ - \infty }^t {m(\lambda )d\lambda )} $$, where $$m(t)$$ is a message signal of bandwidth W. It is passed through a non-linear system with output $$y(t) = 2x(t) + 5{(x(t))^2}$$. Let $${B^T}$$ denote the FM bandwidth. The minimum value of $${\omega _c}$$ required to recover $$x(t)$$ from $$y(t)$$ is

A
$${B_T} + W$$
B
$${3 \over 2}{B_T}$$
C
$$2{B_T} + W$$
D
$${5 \over 2}{B_T}$$
3
GATE ECE 2023
MCQ (Single Correct Answer)
+2
-0.67

Let x$$_1$$(t) and x$$_2$$(t) be two band-limited signals having bandwidth $$B=4\pi\times10^3$$ rad/s each. In the figure below, the Nyquist sampling frequency, in rad/s, required to sample y(t), is

GATE ECE 2023 Communications - Analog Communication Systems Question 11 English

A
$$20\pi\times10^3$$
B
$$40\pi\times10^3$$
C
$$8\pi\times10^3$$
D
$$32\pi\times10^3$$
4
GATE ECE 2022
MCQ (Single Correct Answer)
+2
-0.67

Consider an FM broadcast that employs the pre-emphasis filter with frequency response

$${H_{pe}}(\omega ) = 1 + {{j\omega } \over {{\omega _0}}}$$,

where $$\omega$$0 = 104 rad/sec.

For the network shown in the figure to act as a corresponding de-emphasis filter, the appropriate pairs of (R, C) values is/are ____________.

GATE ECE 2022 Communications - Analog Communication Systems Question 12 English

A
R = 1 k$$\Omega$$, C = 0.1 $$\mu$$F
B
R = 2 k$$\Omega$$, C = 1 $$\mu$$F
C
R = 1 k$$\Omega$$, C = 2 $$\mu$$F
D
R = 2 k$$\Omega$$, C = 0.5 $$\mu$$F

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