Top 150+ Solved Digital Communication MCQ Questions Answer

From 91 to 105 of 170

Q. Eye pattern is

a. is used to study isi

b. may be seen on cro

c. resembles the shape of human eye

d. all of the above

  • d. all of the above

Q. The criterion used for pulse shaping to avoid ISI is

a. nyquist criterion

b. quantization

c. sample and hold

d. pll

  • a. nyquist criterion

Q. TDM is

a. analog multiplexing

b. digital multiplexing

c. a to d converter

d. both a & b

  • b. digital multiplexing

Q. Random variables give relationship between _         

a. two random events

b. probability of occurrence of two random events

c. random event and a real number

d. random event and its probability of occurrence

  • c. random event and a real number

Q. 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)

  • a. p(x less than or equal to x)

Q. The value of the probability density function of random variable is

a. positive function

b. negative function

c. zero

d. one

  • a. positive function

Q. Which gives the measure of randomness of the random variable?

a. mean

b. variance

c. standard variance

d. pdf

  • b. variance

Q. 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

  • a. random event and time

Q. 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

  • a. its statistics vary with shift in time origin

Q. For a stationary process, autocorrelation function depends on

a. time

b. time difference

c. does not depend on time

d. none of the mentioned

  • b. time difference

Q. The autocorrelation function is maximum at

a. origin

b. infinity

c. origin & infinity

d. none of the mentioned

  • a. origin

Q. Standard deviation is _

a. rms value of dc

b. rms value or ac

c. either ac or dc

d. neither dc nor ac

  • b. rms value or ac

Q. The average power of white noise is

a. zero

b. unity

c. infinity

d. between zero and one

  • c. infinity

Q. he distribution function of -(infinity) and (infinity) is            

a. 0 and 1

b. 1 and 0

c. both 0

d. both 1

  • a. 0 and 1

Q. White noise has mean and _ variance.

a. zero and zero

b. finite and zero

c. zero and finite

d. one and zero

  • c. zero and finite
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