Backward Difference Method MCQ Quiz – Objective Question with Answer for Backward Difference Method

11. Bilinear Transformation is used for transforming an analog filter to a digital filter.

A. True
B. False

Answer: A

The bilinear transformation can be regarded as a correction of the backward difference method. The bilinear transformation is used for transforming an analog filter into a digital filter.

 

12. Which of the following rule is used in the bilinear transformation?

A. Simpson’s rule
B. Backward difference
C. Forward difference
D. Trapezoidal rule

Answer: D
The bilinear transformation uses the trapezoidal rule for integrating a continuous-time function.

 

13. Which of the following substitution is done in Bilinear transformations?

A. s = \(\frac{2}{T}[\frac{1+z^{-1}}{1-z^1}]\)

B. s = \(\frac{2}{T}[\frac{1+z^{-1}}{1+}]\)

C. s = \(\frac{2}{T}[\frac{1-z^{-1}}{1+z^{-1}}]\)

D. None of the mentioned

Answer: C

In bilinear transformation of an analog filter to digital filter, using the trapezoidal rule, the substitution for ‘s’ is given as

s = \(\frac{2}{T}[\frac{1-z^{-1}}{1+z^{-1}}]\).

 

14. What is the value of \(\int_{(n-1)T}^{nT} x(t)dt\) according to trapezoidal rule?

A. \([\frac{x(nT)-x[(n-1)T]}{2}]T\)

B. \([\frac{x(nT)+x[(n-1)T]}{2}]T\)

C. \([\frac{x(nT)-x[(n+1)T]}{2}]T\)

D. \([\frac{x(nT)+x[(n+1)T]}{2}]T\)

Answer: B

The given integral is approximated by the trapezoidal rule. This rule states that if T is small, the area (integral) can be approximated by the mean height of x(t) between the two limits and then multiplying by the width. That is

\(\int_{(n-1)T}^{nT} x(t)dt=[\frac{x(nT)+x[(n-1)T]}{2}]T\)

 

15. What is the value of y(n)-y(n-1) in terms of input x(n)?

A. \([\frac{x(n)+x(n-1)}{2}]T\)

B. \([\frac{x(n)-x(n-1)}{2}]T\)

C. \([\frac{x(n)-x(n+1)}{2}]T\)

D. \([\frac{x(n)+x(n+1)}{2}]T\)

Answer: A

We know that the derivative equation is
dy(t)/dt=x(t)

On applying integrals both sides, we get

\(\int_{(n-1)T}^{nT}dy(t)=\int_{(n-1)T}^{nT} x(t)dt\)

=> y(nT)-y[(n-1)T]=\(\int_{(n-1)T}^{nT} x(t)dt\)

On applying trapezoidal rule on the right hand integral, we get

y(nT)-y[(n-1)T]=\([\frac{x(nT)+x[(n-1)T]}{2}]T\)

Since x(n) and y(n) are approximately equal to x(nT) and y(nT) respectively, the above equation can be written as

y(n)-y(n-1)=\([\frac{x(n)+x(n-1)}{2}]T\)

 

16. What is the expression for system function in z-domain?

A. \(\frac{2}{T}[\frac{1+z^{-1}}{1-z^1}]\)

B. \(\frac{2}{T}[\frac{1+z^{-1}}{1-z^1}]\)

C. \(\frac{T}{2}[\frac{1+z^{-1}}{1-z^1}]\)

D. \(\frac{T}{2}[\frac{1-z^{-1}}{1+z^{-1}}]\)

Answer: C

We know that

y(n)-y(n-1)= \([\frac{x(n)+x(n-1)}{2}]T\)

Taking z-transform of the above equation gives
=>Y(z)[1-z-1]=([1+z-1]/2).TX(z)

=>H(z)=Y(z)/X(z)=\(\frac{T}{2}[\frac{1+z^{-1}}{1-z^1}]\).

 

17. In bilinear transformation, the left-half s-plane is mapped to which of the following in the z-domain?

A. Entirely outside the unit circle |z|=1
B. Partially outside the unit circle |z|=1
C. Partially inside the unit circle |z|=1
D. Entirely inside the unit circle |z|=1

Answer: D

In bilinear transformation, the z to s transformation is given by the expression
z=[1+(T/2)s]/[1-(T/2)s].
Thus unlike the backward difference method, the left-half s-plane is now mapped entirely inside the unit circle, |z|=1, rather than to a part of it.

 

18. The equation s = \(\frac{2}{T}[\frac{1-z^{-1}}{1+z^{-1}}]\) is a true frequency-to-frequency transformation.

A. True
B. False

Answer: A

Unlike the backward difference method, the left-half s-plane is now mapped entirely inside the unit circle, |z|=1, rather than to a part of it. Also, the imaginary axis is mapped to the unit circle.

Therefore, equation s = \(\frac{2}{T}[\frac{1-z^{-1}}{1+z^{-1}}]\) is a true frequency-to-frequency transformation.

 

19. If s=σ+jΩ and z=rejω, then what is the condition on σ if r<1?

A. σ > 0
B. σ < 0
C. σ > 1
D. σ < 1

Answer: B

We know that if = σ+jΩ and z=rejω, then by substituting the values in the below expression

s = \(\frac{2}{T}[\frac{1-z^{-1}}{1+z^{-1}}]\)

=>σ = \(\frac{2}{T}[\frac{r^2-1}{r^2+1+2rcosω}]\)

When r<1 => σ < 0.

 

20. If s=σ+jΩ and z=rejω and r=1, then which of the following inference is correct?

A. LHS of the s-plane is mapped inside the circle, |z|=1
B. RHS of the s-plane is mapped outside the circle, |z|=1
C. Imaginary axis in the s-plane is mapped to the circle, |z|=1
D. None of the mentioned

Answer: C

We know that if =σ+jΩ and z=rejω, then by substituting the values in the below expression

s = \(\frac{2}{T}[\frac{1-z^{-1}}{1+z^{-1}}]\)

=>σ = \(\frac{2}{T}[\frac{r^2-1}{r^2+1+2rcosω}]\)

When r=1 => σ = 0.

This shows that the imaginary axis in the s-domain is mapped to the circle of unit radius centered at z=0 in the z-domain.

 

21. If s=σ+jΩ and z=rejω, then what is the condition on σ if r>1?

A. σ > 0
B. σ < 0
C. σ > 1
D. σ < 1

Answer: A

We know that if = σ+jΩ and z=rejω, then by substituting the values in the below expression

s = \(\frac{2}{T}[\frac{1-z^{-1}}{1+z^{-1}}]\)

=>σ = \(\frac{2}{T}[\frac{r^2-1}{r^2+1+2rcosω}]\)

When r>1 => σ > 0.

 

22. What is the expression for the digital frequency when r=1?

A. \(\frac{1}{T} tan⁡(\frac{ΩT}{2})\)

B. \(\frac{2}{T} tan⁡(\frac{ΩT}{2})\)

C. \(\frac{1}{T} tan^{-1}(\frac{ΩT}{2})\)

D. \(\frac{2}{T} tan^{-1}⁡(\frac{ΩT}{2})\)

Answer: D

When r=1, we get σ=0 and

Ω = \(\frac{2}{T} [\frac{2 sin⁡ω}{1+1+2 cos⁡ω}]\)

=>ω=\(\frac{2}{T} tan^{-1}⁡(\frac{ΩT}{2})\).

 

23. What is the kind of relationship between Ω and ω?

A. Many-to-one
B. One-to-many
C. One-to-one
D. Many-to-many

Answer: C

The analog frequencies Ω=±∞ are mapped to digital frequencies ω=±π. The frequency mapping is not aliased; that is, the relationship between Ω and ω is one-to-one. As a consequence of this, there are no major restrictions on the use of bilinear transformation.

 

24. The system function of a general IIR filter is given as
H(z)=\(\frac{\sum_{k=0}^M b_k z^{-k}}{1+\sum_{k=1}^N a_k z^{-k}}\).

A. True
B. False

Answer: A

If ak and bk are the filter coefficients, then the transfer function of a general IIR filter is given by the expression

H(z)=\(\frac{\sum_{k=0}^M b_k z^{-k}}{1+\sum_{k=1}^N a_k z^{-k}}\)

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