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Finite impulse response
![A direct form discrete-time FIR filter of order ''N''. The top part is an ''N''-stage delay line with ''N'' + 1 taps. Each unit delay is a ''z''<sup>−1</sup> operator in [[Z-transform]] notation.](https://commons.wikimedia.org/wiki/Special:FilePath/FIR Filter.svg?width=200 "A direct form discrete-time FIR filter of order ''N''. The top part is an ''N''-stage delay line with ''N'' + 1 taps. Each unit delay is a ''z''<sup>−1</sup> operator in [[Z-transform]] notation.")
![A lattice-form discrete-time FIR filter of order ''N''. Each unit delay is a ''z''<sup>−1</sup> operator in [[Z-transform]] notation.](https://commons.wikimedia.org/wiki/Special:FilePath/FIR Lattice Filter.png?width=200 "A lattice-form discrete-time FIR filter of order ''N''. Each unit delay is a ''z''<sup>−1</sup> operator in [[Z-transform]] notation.")
TYPE OF FILTER IN SIGNAL PROCESSING
FIR filter; Finite Impulse Response; Fir filter; Window design method; Finite impulse response filter; Tap (signal processing); Feed-forward filter
In signal processing, a finite impulse response (FIR) filter is a filter whose impulse response (or response to any finite length input) is of finite duration, because it settles to zero in finite time. This is in contrast to infinite impulse response (IIR) filters, which may have internal feedback and may continue to respond indefinitely (usually decaying).
Finite Impulse Response
TYPE OF FILTER IN SIGNAL PROCESSING
FIR filter; Finite Impulse Response; Fir filter; Window design method; Finite impulse response filter; Tap (signal processing); Feed-forward filter
<electronics, DSP> (FIR) A type of digital signal filter,
in which every sample of output is the weighted sum of past
and current samples of input, using only some finite number of
past samples.
(2001-06-06)
Infinite Impulse Response
PROPERTY OF MANY LINEAR TIME-INVARIANT (LTI) SYSTEMS
IIR filter; Iir filter; Infinite-impulse-response; Infinite-impulse response; Infinite impulse response filter
<electronics, DSP> A type of digital signal filter, in
which every sample of output is the weighted sum of past and
current samples of input, using all past samples, but the
weights of past samples are an inverse function of the sample
age, approaching zero for old samples.
(2001-06-06)
