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2003•Unpublished venueRequires access

A hybrid infinite/finite impulse response (HIR) filter

Michael Weeks, Baoan Wang

Open publisher page 1 citations

Abstract

Filters are used to implement signal transforms, and filter design is a very important part of the signal processing field. There are currently 2 types of filters available: the finite impulse response (FIR) filter, and the infinite impulse response (IIR) filter. While FIR filters have desirable traits such as stability (an absence of poles), IIR filters are able to generate outputs more efficiently. This paper combines the two types of filters by introducing a zero-counter, to make a hybrid impulse response (HIR) filter with desirable traits from both FIR and IIR.

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What this paper is about

Filters are used to implement signal transforms, and filter design is a very important part of the signal processing field. There are currently 2 types of filters available: the finite impulse response (FIR) filter, and the infinite impulse response (IIR) filter. While FIR filters have desirable traits such as stability (an absence of poles), IIR filters are able to generate outputs more efficiently. This paper combines the two types of filters by introducing a zero-counter, to make a hybrid impulse response (HIR) filter with desirable traits from both FIR and IIR.

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Available abstract

Filters are used to implement signal transforms, and filter design is a very important part of the signal processing field. There are currently 2 types of filters available: the finite impulse response (FIR) filter, and the infinite impulse response (IIR) filter. While FIR filters have desirable traits such as stability (an absence of poles), IIR filters are able to generate outputs more efficiently. This paper combines the two types of filters by introducing a zero-counter, to make a hybrid impulse response (HIR) filter with desirable traits from both FIR and IIR.

Key concepts: Infinite impulse response, Finite impulse response, 2D Filters, Control theory (sociology), Digital filter, Linear filter, Filter design, Adaptive filter

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