# Equivalent of the block diagram in the figure is

1.

2.

3.

4.

4 Explanation :
No Explanation available for this question

# The transfer function of a linear system is

1.  ratio of the output, v0(t), and input vi(t)

2.  ratio of the derivatives of the output and the input

3.  ratio of the laplace transform of the output and that of the input with all initial conditions zeros

4.   none of these

4

ratio of the laplace transform of the output and that of the input with all initial conditions zeros

Explanation :
No Explanation available for this question

# The overall transfer function of the system in the given figure is

1.

2.

3.

4.

4 Explanation :
No Explanation available for this question

# The transfer function of the system described by with u as input and y as output is

1.

2.

3.

4.

4 Explanation :
No Explanation available for this question

# Consider a feedback control system with loop transfer function The type of the closed loop system is

1.  zero

2.  one

3.  two

4.   three

4

one

Explanation :
No Explanation available for this question

# A charge q is placed at the centre of the line joining two equal charges Q for what value of q three be in equilibrium

1.  q=-Q/2

2.  q=-Q/8

3.  q=-Q/4

4.  q=-Q/3

4

q=-Q/4

Explanation :
No Explanation available for this question

# The unit-impulse response of a unit-feedback control system is given by c(t)=-te-t+2e-t,(t≥0) the open transfer function is equal to

1.

2.

3.

4.

4 Explanation :
No Explanation available for this question

# The probability of density function of the evelope of a sinusoidal signal along with narrow band noise which of the following distribution

1.  Gaussian

2.  Rayleigh

3.  Rician

4.  Poisson

4

Rician

Explanation :
No Explanation available for this question

# The mean square value of the shot noise current

1.  varies inversely as average current

2.  is independent of average current

3.  varies as √ average current

4.  varies directly as average current

4

varies as √ average current

Explanation :
No Explanation available for this question

# The power spectral density of white noise

1.  varies as square root of frequency

2.  varies as inverse of frequency

3.  varies as square of frequency

4.  is constant with frequency

4