IIR Filters: Questions & Answers

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SUMMARY

Infinite Impulse Response (IIR) filters can indeed be interpreted as convolutions, similar to Finite Impulse Response (FIR) filters, but with the distinction that their impulse responses are infinite in duration. IIR filters can be mathematically described and designed to perform specific frequency operations, such as low-pass and high-pass filtering. Resources such as "Digital Signal Processing" by Oppenheim and Schafer and "Extraction of Signals From Noise" by Wainstein and Zubakov provide foundational knowledge on the mathematical principles and implementations of IIR filters. Additionally, Wikipedia offers valuable insights into transfer functions and IIR filter theory.

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  • Understanding of convolution in signal processing
  • Familiarity with digital signal processing concepts
  • Knowledge of filter design techniques
  • Basic mathematical skills for analyzing filter responses
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  • Study the mathematical foundations of IIR filter design
  • Learn about the implementation of IIR filters in digital signal processing
  • Explore the differences between IIR and FIR filters
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Signal processing engineers, digital filter designers, and students studying digital signal processing will benefit from this discussion on IIR filters and their mathematical interpretations.

mnb96
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Hello,
I know that Finite Impulse Response (FIR) filters can be equivalently expressed as a convolution. The effect of convolution in frequency domain is well known. In conclusion it is easy to make sense of FIR filters.

My questions are:

- can also Infinite Impulse Response (IIR) filters be given a similar interpretation?
Are they convolution of some sort?

- There exists some digital IIR filters which manipulate the frequencies of the signal (e.g. low-pass, hi-pass, etc...).
How can one design an IIR filter which does specific operations to frequencies if we don't know how to handle it mathematically?
Alternatively, how can you prove that a low-pass IIR filter in time-domain, does indeed filter frequencies?
 
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Yes, IIR filters also operate as convolutions, with the difference that their impulse responses are infinite in time instead of finite. Hence the name IIR: "infinite impulse response". Your other questions seem to arise from the misconception that IIR filters cannot be described mathematically. This is false. These filters can be described mathematically, and can be designed to produce all of the filter responses you describe. They can be implemented digitally or with analog circuitry. You can read about analog implementations in books on systems and signals, for instance,

Wainstein and Zubakov, Extraction of Signals From Noise

Digital filters (including IIR) are covered everywhere. See. e.g.,

Oppenheim and Schafer, Digital Signal Processing

Even Wikipedia has some relevant information
http://en.wikipedia.org/wiki/Transfer_function"
http://en.wikipedia.org/wiki/Infinite_impulse_response"
http://en.wikipedia.org/wiki/LTI_system_theory#Impulse_response_and_convolution"
 
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