Building Billion Tap Filters: Prism Signal Processing

Manus Henry, John Owen

    Research output: Contribution to journalArticlepeer-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 languageEnglish
    Pages (from-to)28-34
    Number of pages7
    JournalIEEE Industrial Electronics Magazine
    Volume15
    Issue number4
    Early online date6 Jan 2021
    DOIs
    Publication statusPublished - 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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