Architectures for Wavelet Transforms: A Survey

Chaitali Chakrabarti, Mohan Vishwanath, Robert M. Owens

Research output: Contribution to journalArticle

123 Scopus citations

Abstract

Wavelet transforms have proven to be useful tools for several applications, including signal analysis, signal compression and numerical analysis. This paper surveys the VLSI architectures that have been proposed for computing the Discrete and Continuous Wavelet Transforms for 1-D and 2-D signals. The architectures are based upon on-line versions of the wavelet transform algorithms. These architectures support single chip implementations and are optimal with respect to both area and time under the word-serial model.

Original languageEnglish (US)
Pages (from-to)171-192
Number of pages22
JournalJournal of VLSI Signal Processing Systems for Signal, Image, and Video Technology
Volume14
Issue number2
DOIs
StatePublished - Jan 1 1996

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Electrical and Electronic Engineering

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