1. Which of the following techniques of designing IIR filters do not involve the conversion of an analog filter into a digital filter?

A. Bilinear transformation
B. Impulse invariance
C. Approximation of derivatives
D. None of the mentioned

Except for the impulse invariance method, the design techniques for IIR filters involve the conversion of an analog filter into a digital filter by some mapping from the s-plane to the z-plane.

2. Using which of the following methods, a digital IIR filter can be directly designed?

D. All of the mentioned

There are several methods for designing digital filters directly. The three techniques are Pade approximation and the least square method, the specifications are given in the time domain and the design is carried out in the time domain. The other one is the least-squares technique in which the design is carried out in the frequency domain.

3. What is the number of parameters that a filter consists of?

A. M+N+1
B. M+N
C. M+N-1
D. M+N-2

The filter has L=M+N+1 parameters, namely, the coefficients {ak} and {bk}, which can be selected to minimize some error criteria.

4. The minimization of ε involves the solution of a set of non-linear equations.

A. True
B. False

In general, h(n) is a non-linear function of the filter parameters and hence the minimization of ε involves the solution of a set of non-linear equations.

5. What should be the upper limit of the solution to match h(n) perfectly to the desired response hd(n)?

A. L
B. L+1
C. L-1
D. L+2

If we select the upper limit as U=L-1, it is possible to match h(n) perfectly to the desired response hd(n) for 0 < n < M+N.

6. For how many values of the impulse response, a perfect match is present between h(n) and hd(n)?

A. L
B. M+N+1
C. 2L-M-N-1
D. All of the mentioned

We obtain a perfect match between h(n) and the desired response hd(n) for the first L values of the impulse response and we also know that L=M+N+1.

7. The degree to which the design technique produces acceptable filter designs depends in part on the number of filter coefficients selected.

A. True
B. False

The degree to which the design technique produces acceptable filter designs depends in part on the number of filter coefficients selected. Since the design method matches hd(n) only up to the number of filter parameters, the more complex the filter, the better the approximation to hd(n).

8. According to this method of design, the filter should have one of the following in large numbers?

A. Only poles
B. Both poles and zeros
C. Only zeros
D. None of the mentioned

The major limitation of the Pade approximation method, namely, the resulting filter must contain a large number of poles and zeros.

9. Which of the following conditions are in the favor of Pade approximation method?

A. Desired system function is rational
B. Prior knowledge of the number of poles and zeros
C. Desired system function is rational & Prior knowledge of the number of poles and zeros
D. None of the mentioned

The Pade approximation method results in a perfect match to Hd(z) when the desired system function is rational and we have prior knowledge of the number of poles and zeros in the system.

10. Which of the following filters will have an impulse response as shown in the below figure?

A. Butterworth filters
B. Type-I Chebyshev filter
C. Type-II Chebyshev filter
D. None of the mentioned