Building Billion Tap Filters: Prism Signal Processing

Manus Henry; John Owen

doi:10.1109/MIE.2020.3036040

Building Billion Tap Filters: Prism Signal Processing

Manus Henry, John Owen

Entegra Solutions Ltd

Research output: Contribution to journal › Article › peer-review

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Abstract

Signal processing engineers recognise two main classes of filter: Finite Impulse Response (FIR) and Infinite Impulse Response (IIR), each with distinct properties. The Prism is a new filter type which combines the best of both: the numerical stability and linear phase of FIR, together with the low-cost calculation of IIR. Here, we show how to build ultra-narrowband FIR filters, containing over one billion samples (taps), using a sequence of Prisms. While designing and operating equivalent conventional FIR filters would require supercomputer resources, these Prism filters are designed instantly and implemented on a single FPGA.

Original language	English
Pages (from-to)	28-34
Number of pages	7
Journal	IEEE Industrial Electronics Magazine
Volume	15
Issue number	4
Early online date	6 Jan 2021
DOIs	https://doi.org/10.1109/MIE.2020.3036040
Publication status	Published - 1 Dec 2021

Keywords

Band-pass filters
Finite impulse response filters
IIR filters
Maximum likelihood detection
Nonlinear filters
Power harmonic filters
Signal processing

ASJC Scopus subject areas

Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

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10.1109/MIE.2020.3036040

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KW - Power harmonic filters

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Building Billion Tap Filters: Prism Signal Processing

Abstract

Keywords

ASJC Scopus subject areas

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