Distributed vector processing of the S-transform for medical applications

R. A. Brown, H. Zhu, J. R. Mitchell

Research output: Contribution to journalConference article

8 Scopus citations

Abstract

The recently developed Stockwell transform (ST) combines features of the Fourier and Wavelet transforms; it reveals frequency variation over both space and time. It is a potentially powerful tool that can be applied to medical image processing including tissue texture analysis and noise filtering. However, calculation of the ST is computationally intensive, making conventional implementations too slow for medical applications. This problem was addressed with a Fast Fourier transform implementation for Motorola's AltiVec vector processor and a distributed processing system with the goal of creating a flexible system utilizing existing hardware and standards.

Original languageEnglish (US)
Pages (from-to)1129-1133
Number of pages5
JournalCanadian Conference on Electrical and Computer Engineering
Volume2
StatePublished - Jan 1 2002
Event2002 IEEE Canadian Conference on Electrical and Computer Engineering - Winipeg, Manitoba, Canada
Duration: May 12 2002May 15 2002

Keywords

  • Distributed computing
  • S-transform
  • Vector processing

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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