Spectral Analysis Techniques using Prism Signal Processing

Research output: Contribution to journalArticle

Abstract

The Prism is a new signal processing module which implements fully recursive, linear phase FIR filtering, so its computational cost is fixed irrespective of filter length. The Prism also has negligible design cost. Recent work has demonstrated how, using simple design rules, a chain of six Prisms can create a narrowband filter with arbitrary central frequency and bandwidth. In this paper, the technique is applied to spectral analysis of data, whereby a sequence of filters is applied to a data set to provide narrow frequency analysis, yielding accurate estimates of the frequencies and amplitudes of spectral peaks in the data. Although this time domain technique remains computationally expensive compared to the FFT, it can identify and reject spectral leakage, offering an alternative analysis for low amplitude and/or adjacent spectral peaks, including hidden tones, where FFT discrimination may be limited.
Original languageEnglish
Article number108491
Pages (from-to)(In-Press)
JournalMeasurement
Volume169
Early online date28 Sep 2020
DOIs
Publication statusE-pub ahead of print - 28 Sep 2020

Keywords

  • FFT
  • Hidden tones
  • Prism signal processing
  • Spectral analysis
  • Spectral leakage

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

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