(infinite impulse response)
1Infinite impulse response — IIR redirects here. For the conference company IIR, see Informa.Infinite impulse response (IIR) is a property of signal processing systems. Systems with that property are known as IIR systems or when dealing with electronic filter systems as IIR… …
2Finite impulse response — A finite impulse response (FIR) filter is a type of a digital filter. The impulse response, the filter s response to a Kronecker delta input, is finite because it settles to zero in a finite number of sample intervals. This is in contrast to… …
3Impulse invariance — is a technique for designing discrete time Infinite Impulse Response (IIR) filters from continuous time filters in which the impulse response of the continuous time system is sampled to produce the impulse response of the discrete time system. If …
4IIR — Infinite Impulse Response (Academic & Science » Electronics) ** Butyl Rubber (Miscellaneous » Plastics) * Industrial Information Resources (Business » Firms) * Intelligence Information Report (Governmental » US Government) * Intelligence… …
5IIR — infinite impulse response; Internet information retrieval …
6IIR — Infinite Impulse Response Contributor: CASI, MSFC …
7IIR — • infinite impulse response; • Internet information retrieval …
8Linear filter — A linear filter applies a linear operator to a time varying input signal. Linear filters are very common in electronics and digital signal processing (see the article on electronic filters), but they can also be found in mechanical engineering… …
9Digital filter — A general finite impulse response filter with n stages, each with an independent delay, di, and amplification gain, ai. In electronics, computer science and mathematics, a digital filter is a system that performs mathematical operations on a… …
10Low-pass filter — A low pass filter is a filter that passes low frequency signals but attenuates (reduces the amplitude of) signals with frequencies higher than the cutoff frequency. The actual amount of attenuation for each frequency varies from filter to filter …
