infinite impulse response filter - definição. O que é infinite impulse response filter. Significado, conceito
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O que (quem) é infinite impulse response filter - definição

PROPERTY OF MANY LINEAR TIME-INVARIANT (LTI) SYSTEMS
IIR filter; Iir filter; Infinite-impulse-response; Infinite-impulse response; Infinite impulse response filter
  • IIR filter example

Infinite Impulse Response         
<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)
Infinite impulse response         
Infinite impulse response (IIR) is a property applying to many linear time-invariant systems that are distinguished by having an impulse response h(t) which does not become exactly zero past a certain point, but continues indefinitely. This is in contrast to a finite impulse response (FIR) system in which the impulse response does become exactly zero at times t>T for some finite T, thus being of finite duration.
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.
  • 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
<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)

Wikipédia

Infinite impulse response

Infinite impulse response (IIR) is a property applying to many linear time-invariant systems that are distinguished by having an impulse response h ( t ) {\displaystyle h(t)} which does not become exactly zero past a certain point, but continues indefinitely. This is in contrast to a finite impulse response (FIR) system in which the impulse response does become exactly zero at times t > T {\displaystyle t>T} for some finite T {\displaystyle T} , thus being of finite duration. Common examples of linear time-invariant systems are most electronic and digital filters. Systems with this property are known as IIR systems or IIR filters.

In practice, the impulse response, even of IIR systems, usually approaches zero and can be neglected past a certain point. However the physical systems which give rise to IIR or FIR responses are dissimilar, and therein lies the importance of the distinction. For instance, analog electronic filters composed of resistors, capacitors, and/or inductors (and perhaps linear amplifiers) are generally IIR filters. On the other hand, discrete-time filters (usually digital filters) based on a tapped delay line employing no feedback are necessarily FIR filters. The capacitors (or inductors) in the analog filter have a "memory" and their internal state never completely relaxes following an impulse (assuming the classical model of capacitors and inductors where quantum effects are ignored). But in the latter case, after an impulse has reached the end of the tapped delay line, the system has no further memory of that impulse and has returned to its initial state; its impulse response beyond that point is exactly zero.