Can an IIR filter be applied by convoluting a signal with its impulse response?

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SUMMARY

This discussion centers on the application of Infinite Impulse Response (IIR) filters, specifically Butterworth filters, and their relationship with Finite Impulse Response (FIR) filters through convolution. It is established that while FIR filters utilize convolution and have a finite impulse response, IIR filters are recursive and theoretically possess an infinite impulse response. Convolution of a signal with the impulse response of an IIR filter approximates FIR filtering, but this method does not retain the properties of IIR filtering, such as nonlinear phase characteristics. The conversation concludes that if convolution is necessary, FIR filtering must be employed, and linear phase cannot be achieved with IIR filters.

PREREQUISITES
  • Understanding of IIR and FIR filter characteristics
  • Familiarity with Butterworth filter design and properties
  • Knowledge of convolution operations in signal processing
  • Basic concepts of transfer functions in digital filters
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  • Explore the properties and applications of Butterworth and Chebyshev filters
  • Learn about the bilinear transform method for converting analog filters to digital
  • Investigate the implications of phase response in filter design and selection
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Mechanical engineers, signal processing students, and anyone involved in digital filter design and analysis will benefit from this discussion.

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Hi all..

I'm a new to filters and I need some help understanding filters (I'm in mechanical engineering)

So far, I've found out that FIR filters use convolution and has a finite impulse response.

On the other hand, IIR filters are recursive and have an infinite impulse response.

But, what if I get the impulse response of an IIR filter (Butterworth, for example) and convolute the response with a signal? (given that I use only a part of the infinite signal).

Does this still count as an IIR filtering? Can I apply an IIR filter this way?

Any help would be appreciated.

Thank you
 
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Well - taking the convolution sum and truncating it to some finite range is effectively taking an FIR approximation of a given IIR filter, which is actually one of the techniques to design FIR filters.
As a practical way to model a system, it's ok, it can even be pretty accurate - eventually any IIR impulse response decreases to a certain level bellow which the quantization makes it effectively zero, but theoretically it is wrong, and off course using the recursive way to calculate the response is always more accurate than approximating with FIR.
 
Thank you for your reply :)
 
Can I ask one more question?

If I have a low pass filter, whose transfer function is

H(s) = a/(a+s),

It it an IIR filter or FIR filter?
 
It is neither.

The discrete-time versions are an approximation to the continuous transfer function.

The FIR approximation will come as close as you want to analog. The IIR version is very good but not exactly the same.

The IIR version of that filter includes a zero in the numerator at the nyquist frequency.

It's roughly y(n+1) = b*y(n) + c*(x(n)-x(n-1)).
 
Thank you for your reply and sorry for keep asking...

The equation I'm dealing with contains a convolution, like A = f*B, where B is the input signal and f is the impulse response of a filter.

Does this mean that I am forced to use FIR filtering and no Butterworth or Chebyshev for me? (man... they look so attractive)

Also, Butterworth has a nonlinear phase, but FIR filters have a linear phase. However, if I use the impulse response of the Butterworth to do convolution (which is FIR filtering), do I still get a linear phase?

Thank you
 
If you must convolve then yes FIR is required. Are you sure you must convolve?

You cannot get linear phase from an IIR.
 
Sadly, yes. I must convolve...

Will there be any advantages of taking FIR approximation of IIR filters?
 
Antiphon said:
The IIR version of that filter includes a zero in the numerator at the nyquist frequency.

not necessarily. if the analog filter was digitized using the bilinear transform, then it's true. but not necessarily if it was converted from analog to digital by other means (like Impulse Invariant).
 
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Thank you all for your help :)
 

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