High Dynamic Range FIR Filters

1. Why FIR is better than IIR filter?
2. What is FIR high-pass filter?
3. Which is an advantage of FIR filter?
4. Can FIR filters be unstable?

Why FIR is better than IIR filter?

IIR filters are well suited for applications that require no phase information, for example, for monitoring the signal amplitudes. FIR filters are better suited for applications that require a linear phase response.

What is FIR high-pass filter?

High-pass filters are often used to clean up low-frequency noise, remove humming sounds in audio signals, redirect higher frequency signals to appropriate speakers in sound systems, and remove low-frequency trends from time-series data, thereby highlighting the high-frequency trends.

Which is an advantage of FIR filter?

An FIR filter is a filter with no feedback in its equation. This can be an advantage because it makes an FIR filter inherently stable. Another advantage of FIR filters is the fact that they can produce linear phases. So, if an application requires linear phases, the decision is simple, an FIR filter must be used.

Can FIR filters be unstable?

Stability: As FIRs do not use previous output values to compute their present output, i.e. they have no feedback, they can never become unstable for any type of input signal, which is gives them a distinct advantage over IIR filters.