Why linear phase is a desirable property for a discrete time filter?

Why do we need linear phase filters? Digital filters with linear phase have the advantage of delaying all frequency components by the same amount, i.e. they preserve the input signal’s phase relationships. This preservation of phase means that the filtered signal retains the shape of the original input signal.

What are the major issues considerations for designing the digital filters?

Typical design requirements

• The filter should have a specific frequency response.
• The filter should have a specific phase shift or group delay.
• The filter should have a specific impulse response.
• The filter should be causal.
• The filter should be stable.

When an application requires a linear phase filter it should be an FIR filter?

Explanation: The signal processing is computationally cumbersome and appear to offer no advantages over linear phase FIR filters. Consequently, when an application requires a linear phase, it should be an FIR filter.

What is the disadvantage of impulse invariant method Mcq?

The disadvantage of the impulse invariance method is the unavoidable frequency-domain aliasing.

What are the advantages of FIR filters over IIR filters?

The two advantages of FIR filters over IIR filters are

• they are guaranteed to be stable and non-linear.
• they are marginally stable and linear.
• they are guaranteed to be stable and may be constrained to have linear phase.
• they are marginally stable and non-linear.

What is the disadvantages of impulse invariant method?

Explanation: The disadvantage of the impulse invariance method is the unavoidable frequency-domain aliasing.

Why is impulse invariant method not preferred in the design of IIR filter other than low pass filter?

Due to spectrum aliasing the impulse invariance method is inappropriate for designing high pass filters. That is why the impulse invariance method is not preferred in the design of IIR filter other than low pass filters.