Moving Average and FIR/IIR Filters Quiz

What is the primary characteristic of a Moving Average filter?

• It uses past and future input values.

• It uses only past input values.

• It uses only future input values.

• It uses both past and present input values.

Which of the following is a key advantage of the Moving Average filter?

• High computational complexity

• Simple implementation

• Infinite impulse response

• High memory usage

The Moving Average filter is a special case of which type of filter?

• IIR Filter

• FIR Filter

• Kalman Filter

• Butterworth Filter

What is a defining characteristic of FIR filters?

• They have an infinite impulse response.

• They have a finite impulse response.

• They require feedback.

• They are always recursive.

Which of the following is an advantage of FIR filters?

• They are always stable.

• They require less memory.

• They have a non-linear phase response.

• They are easier to design than IIR filters.

Which method is commonly used to design FIR filters?

• Bilinear transformation

• Window method

• Z-transform

• Fourier series

What is a defining characteristic of IIR filters?

• They have a finite impulse response.

• They do not use feedback.

• They have an infinite impulse response.

• They are always non-recursive.

Which of the following is a disadvantage of IIR filters?

• They are always stable.

• They have a linear phase response.

• They can be unstable.

• They require more memory than FIR filters.

Which method is commonly used to design IIR filters?

• Window method

• Bilinear transformation

• Fourier series

• Least squares method

Which of the following statements is true about FIR and IIR filters?

• FIR filters are always recursive, while IIR filters are non-recursive.

• FIR filters can be designed to have a linear phase response, while IIR filters cannot.

• IIR filters are always stable, while FIR filters can be unstable.

• Both FIR and IIR filters have infinite impulse responses.