# Bandpass Signal Representation MCQ [Free PDF] – Objective Question Answer for Bandpass Signal Representation Quiz

1. Which of the following is the right way of representing of the equation that contains only the positive frequencies in a given x(t) signal?

A. X+(F)=4V(F)X(F)
B. X+(F)=V(F)X(F)
C. X+(F)=2V(F)X(F)
D. X+(F)=8V(F)X(F)

In a real-valued signal x(t), has a frequency content concentrated in a narrow band of frequencies in the vicinity of a frequency Fc. Such a signal which has only positive frequencies can be expressed as X+(F)=2V(F)X(F)

Where X+(F) is a Fourier transform of x(t) and V(F) is the unit step function.

2. What is the equivalent time –domain expression of X+(F)=2V(F)X(F)?

A. F(+1)[2V(F)]*F(+1)[X(F)]
B. F(-1)[4V(F)]*F(-1)[X(F)]
C. F(-1)[V(F)]*F(-1)[X(F)]
D. F(-1)[2V(F)]*F(-1)[X(F)]

Given Expression, X+(F)=2V(F)X(F).It can be calculated as follows

$$x_+ (t)=\int_{-∞}^∞ X_+ (F)e^{j2πFt} dF$$

=$$F^{-1} [2V(F)]*F^{-1} [X(F)]$$

3. In time-domain expression, $$x_+ (t)=F^{-1} [2V(F)]*F^{-1} [X(F)]$$. The signal x+(t) is known as

A. Systematic signal
B. Analytic signal
C. Pre-envelope of x(t)
D. Both Analytic signal & Pre-envelope of x(t)

From the given expression, $$x_+ (t)=F^{-1} [2V(F)] * F^{-1}[X(F)]$$.

4. In equation $$x_+ (t)=F^{-1} [2V(F)]*F^{-1} [X(F)]$$, if $$F^{-1} [2V(F)]=δ(t)+j/πt$$ and $$F^{-1} [X(F)]$$ = x(t). Then the value of ẋ(t) is?

A. $$\frac{1}{π} \int_{-\infty}^\infty \frac{x(t)}{t+τ} dτ$$

B. $$\frac{1}{π} \int_{-\infty}^\infty \frac{x(t)}{t-τ} dτ$$

C. $$\frac{1}{π} \int_{-\infty}^\infty \frac{2x(t)}{t-τ} dτ$$

D. $$\frac{1}{π} \int_{-\infty}^\infty \frac{4x(t)}{t-τ} dτ$$

$$x_+ (t)=[δ(t)+j/πt]*x(t)$$

$$x_+ (t)=x(t)+[j/πt]*x(t)$$

$$ẋ(t)=[j/πt]*x(t)$$

=$$\frac{1}{π} \int_{-\infty}^\infty \frac{x(t)}{t-τ} dτ$$ Hence proved.

5. If the signal ẋ(t) can be viewed as the output of the filter with impulse response h(t) = 1/πt, -∞ < t < ∞ when excited by the input signal x(t) then such a filter is called as __________

A. Analytic transformer
B. Hilbert transformer
C. Both Analytic & Hilbert transformer
D. None of the mentioned

The signal ẋ(t) can be viewed as the output of the filter with impulse response h(t) = 1/πt,

-∞ < t < ∞ when excited by the input signal x(t) then such a filter is called a Hilbert transformer.

6. What is the frequency response of a Hilbert transform H(F)=?

A. $$\begin{cases}&-j (F>0) \\ & 0 (F=0)\\ & j (F<0)\end{cases}$$

B. $$\left\{\begin{matrix}-j & (F<0)\\0 & (F=0) \\j & (F>0)\end{matrix}\right.$$

C. $$\left\{\begin{matrix}-j & (F>0)\\0 &(F=0) \\j & (F<0)\end{matrix}\right.$$

D. $$\left\{\begin{matrix}j&(F>0)\\0 & (F=0)\\j & (F<0)\end{matrix}\right.$$

H(F) =$$\int_{-∞}^∞ h(t)e^{-j2πFt} dt$$

=$$\frac{1}{π} \int_{-∞}^∞ 1/t e^{-2πFt} dt$$

=$$\left\{\begin{matrix}-j& (F>0)\\0&(F=0) \\ j& (F<0)\end{matrix}\right.$$

We Observe that │H (F)│=1 and the phase response ⊙(F) = -1/2π for F > 0 and ⊙(F) = 1/2π for F < 0.

7. What is the equivalent lowpass representation obtained by performing a frequency translation of X+(F) to Xl(F)= ?

A. X+(F+FC.
B. X+(F-FC.
C. X+(F*FC.
D. X+(Fc-F)

The analytic signal x+(t) is a bandpass signal. We obtain an equivalent lowpass representation by performing a frequency translation of X+(F).

8. What is the equivalent time domain relation of xl(t) i.e., lowpass signal?

A. $$x_l (t)=[x(t)+j ẋ(t)]e^{-j2πF_c t}$$

B. x(t)+j ẋ(t) = $$x_l (t) e^{j2πF_c t}$$

C. $$x_l (t)=[x(t)+j ẋ(t)]e^{-j2πF_c t}$$ & x(t)+j ẋ(t) = $$x_l (t) e^{j2πF_c t}$$

D. None of the mentioned

$$x_l (t)=x_+ (t) e^{-j2πF_c t}$$

=$$[x(t)+j ẋ(t)] e^{-j2πF_c t}$$

Or equivalently, x(t)+j ẋ(t) =$$x_l (t) e^{j2πF_c t}$$.

9. If we substitute the equation $$x_l (t)= u_c (t)+j u_s (t)$$ in equation x (t) + j ẋ (t) = xl(t) ej2πFct and equate real and imaginary parts on side, then what are the relations that we obtain?

A. x(t)=$$u_c (t) \,cos⁡2π \,F_c \,t+u_s (t) \,sin⁡2π \,F_c \,t$$; ẋ(t)=$$u_s (t) \,cos⁡2π \,F_c \,t-u_c \,(t) \,sin⁡2π \,F_c \,t$$

B. x(t)=$$u_c (t) \,cos⁡2π \,F_c \,t-u_s (t) \,sin⁡2π \,F_c \,t$$; ẋ(t)=$$u_s (t) \,cos⁡2π \,F_c t+u_c (t) \,sin⁡2π \,F_c \,t$$

C. x(t)=$$u_c (t) \,cos⁡2π \,F_c t+u_s (t) \,sin⁡2π \,F_c \,t$$; ẋ(t)=$$u_s (t) \,cos⁡2π \,F_c t+u_c (t) \,sin⁡2π \,F_c \,t$$

D. x(t)=$$u_c (t) \,cos⁡2π \,F_c \,t-u_s (t) \,sin⁡2π \,F_c \,t$$; ẋ(t)=$$u_s (t) \,cos⁡2π \,F_c \,t-u_c (t) \,sin⁡2π \,F_c \,t$$

If we substitute the given equation with another, then we get the required result.

10. In the relation, x(t) = $$u_c (t) cos⁡2π \,F_c \,t-u_s (t) sin⁡2π \,F_c \,t$$ the low frequency components uc and us are called _____ of the bandpass signal x(t).

C. Triplet components
D. None of the mentioned

The low-frequency signal components uc(t) and us(t) can be viewed as amplitude modulations impressed on the carrier components cos2πFct and sin2πFct, respectively. Since these carrier components are in phase quadrature, uc(t) and us(t) are called the Quadrature components of the bandpass signal x (t).

11. What is the other way of representing of bandpass signal x(t)?

A. x(t) = Re$$[x_l (t) e^{j2πF_c t}]$$

B. x(t) = Re$$[x_l (t) e^{jπF_c t}]$$

C. x(t) = Re$$[x_l (t) e^{j4πF_c t}]$$

D. x(t) = Re$$[x_l (t) e^{j0πF_c t}]$$

The above signal is formed from quadrature components, x(t) = Re$$[x_l (t) e^{j2πF_c t}]$$ where Re denotes the real part of complex valued quantity.

12. In the equation x(t) = Re$$[x_l (t) e^{j2πF_c t}]$$, What is the lowpass signal xl (t) is usually called the ___ of the real signal x(t).

A. Mediature envelope
B. Complex envelope
C. Equivalent envelope
D. All of the mentioned

In the equation x(t) = Re[xl(t)e(j2πFct)], Re denotes the real part of the complex-valued quantity in the brackets following. The lowpass signal xl (t) is usually called the Complex envelope of the real signal x(t), and is basically the equivalent low pass signal.

13. If a possible representation of a band pass signal is obtained by expressing xl (t) as $$x_l (t)=a(t)e^{jθ(t})$$ then what are the equations of a(t) and θ(t)?

A. a(t) = $$\sqrt{u_c^2 (t)+u_s^2 (t)}$$ and θ(t)=$$tan^{-1}\frac{u_s (t)}{u_c (t)}$$

B. a(t) = $$\sqrt{u_c^2 (t)-u_s^2 (t)}$$ and θ(t)=$$tan^{-1}\frac{u_s (t)}{u_c (t)}$$

C. a(t) = $$\sqrt{u_c^2 (t)+u_s^2 (t)}$$ and θ(t)=$$tan^{-1}\frac{u_c (t)}{u_s (t)}$$

D. a(t) = $$\sqrt{u_s^2 (t)-u_c^2 (t)}$$ and θ(t)=$$tan^{-1}⁡\frac{u_s (t)}{u_c (t)}$$

A third possible representation of a band pass signal is obtained by expressing $$x_l (t)=a(t)e^{jθ(t)}$$ where a(t) = $$\sqrt{u_c^2 (t)+u_s^2 (t)}$$ and θ(t)=$$tan^{-1}\frac{u_s (t)}{u_c (t)}$$.

14. What is the possible representation of x(t) if xl(t)=a(t)e(jθ(t))?

A. x(t) = a(t) cos[2πFct – θ(t)]
B. x(t) = a(t) cos[2πFct + θ(t)]
C. x(t) = a(t) sin[2πFct + θ(t)]
D. x(t) = a(t) sin[2πFct – θ(t)]

x(t) = Re$$[x_l (t) e^{j2πF_c t}]$$

= Re$$[a(t) e^{j[2πF_c t + θ(t)]}]$$

= $$a(t) \,cos⁡ [2πF_c t+θ(t)]$$
Hence proved.

15. In the equation x(t) = a(t)cos[2πFct+θ(t)], Which of the following relations between a(t) and x(t), θ(t) and x(t) are true?

A. a(t), θ(t) are called the Phases of x(t)
B. a(t) is the Phase of x(t), θ(t) is called the Envelope of x(t)
C. a(t) is the Envelope of x(t), θ(t) is called the Phase of x(t)
D. none of the mentioned

In the equation x(t) = a(t) cos[2πFct+θ(t)], the signal a(t) is called the Envelope of x(t), and θ(t) is called the phase of x(t).

16. The basic task of the A/D converter is to convert a discrete set of digital code words into a continuous range of input amplitudes.

A. True
B. False

The basic task of the A/D converter is to convert a continuous range of input amplitude into a discrete set of digital code words. This conversion involves the processes of Quantization and Coding.

17. What is the type of quantizer, if a Zero is assigned a quantization level?

A. Midrise type
C. Mistreat type
D. None of the mentioned

If a zero is assigned a quantization level, the quantizer is of the mid-treat type.

18. What is the type of quantizer, if a Zero is assigned a decision level?

A. Midrise type
C. Mistreat type
D. None of the mentioned

If a zero is assigned a decision level, the quantizer is of the midrise type.

19. What is the term used to describe the range of an A/D converter for bipolar signals?

A. Full scale
B. FSR
C. Full-scale region
D. FS

The term Full-scale range (FSR) is used to describe the range of an A/D converter for bipolar signals (i.e., signals with both positive and negative amplitudes).

20. What is the term used to describe the range of an A/D converter for uni-polar signals?

A. Full scale
B. FSR
C. Full-scale region
D. FSS

The term Full scale (FS) is used for unipolar signals.

21. What is the fixed range of the quantization error eq(n)?

A. $$\frac{\Delta}{6}$$ &lt; e<sub>q</sub>(n) &le; $$\frac{\Delta}{6}$$

B. $$\frac{\Delta}{4}$$ &lt; e<sub>q</sub>(n) &le; $$\frac{\Delta}{4}$$

C. $$\frac{\Delta}{2}$$ &lt; e<sub>q</sub>(n) &le; $$\frac{\Delta}{2}$$

D. $$\frac{\Delta}{16}$$ &lt; e<sub>q</sub>(n) &le; $$\frac{\Delta}{16}$$

The quantization error eq(n) is always in the range $$\frac{\Delta}{2}$$ < eq(n) $$\frac{\Delta}{2}$$, where Δ is quantizer step size.