Explore topic-wise MCQs in Digital Communications.

This section includes 16 Mcqs, each offering curated multiple-choice questions to sharpen your Digital Communications knowledge and support exam preparation. Choose a topic below to get started.

1.

The average power of white noise is

A. Zero
B. Unity
C. Infinity
D. Between zero and one
Answer» D. Between zero and one
Discussion
2.

Standard deviation is ______

A. Rms value of dc
B. Rms value or ac
C. Either ac or dc
D. Neither dc nor ac
Answer» C. Either ac or dc
Discussion
3.

The autocorrelation function is maximum at

A. Origin
B. Infinity
C. Origin & Infinity
D. None of the mentioned
Answer» B. Infinity
Discussion
4.

For a stationary process, autocorrelation function depends on

A. Time
B. Time difference
C. Does not depend on time
D. None of the mentioned
Answer» C. Does not depend on time
Discussion
5.

THE_AUTOCORRELATION_FUNCTION_IS_MAXIMUM_AT?$

A. Origin
B. Infinity
C. Origin & Infinity
D. None of the mentioned
Answer» B. Infinity
Discussion
6.

The average power of white noise is$

A. Zero
B. Unity
C. Infinity
D. Between zero and one
Answer» D. Between zero and one
Discussion
7.

Standard deviation is ______$

A. Rms value of dc
B. Rms value or ac
C. Either ac or dc
D. Neither dc nor ac
Answer» C. Either ac or dc
Discussion
8.

White noise has _____ mean and ______ variance.

A. Zero and zero
B. Finite and zero
C. Zero and finite
D. One and zero
Answer» D. One and zero
Discussion
9.

For a stationary process, autocorrelation function depends o?

A. Time
B. Time difference
C. Does not depend on time
D. None of the mentioned
Answer» C. Does not depend on time
Discussion
10.

A random process is called as stationary in strict sense if

A. Its statistics vary with shift in time origin
B. Its statistics does not vary with shift in time origin
C. Its autocorrelation vary with shift in time
D. Its autocorrelation does not vary with shift in time
Answer» B. Its statistics does not vary with shift in time origin
Discussion
11.

Random process is a function of ______

A. Random event and time
B. Random event and frequency
C. Random event and real number
D. None of the mentioned
Answer» B. Random event and frequency
Discussion
12.

Which gives the measure of randomness of the random variable?

A. Mean
B. Variance
C. Standard variance
D. Pdf
Answer» C. Standard variance
Discussion
13.

The value of the probability density function of random variable is

A. Positive function
B. Negative function
C. Zero
D. One
Answer» B. Negative function
Discussion
14.

The distribution function of -(infinity) and (infinity) is _____

A. 0 and 1
B. 1 and 0
C. Both 0
D. Both 1
Answer» B. 1 and 0
Discussion
15.

The distribution function of random variable is

A. P(X less than or equal to x)
B. P(X greater than or equal to x)
C. P(X less than x)
D. P(X greater than x)
Answer» B. P(X greater than or equal to x)
Discussion
16.

Random variables give relationship between _____

A. Two random events
B. Probability of occurence of two random events
C. Random event and a real number
D. Random event and its probability of occurrence
Answer» D. Random event and its probability of occurrence
Discussion