Efficient realizations of analysis and synthesis filters based on the 2-D discrete wavelet transform

Chaitali Chakrabarti, Clint Mumford

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Scopus citations

Abstract

This paper presents folded architectures and scheduling algorithms for computing the 2-D DWT for analysis and synthesis filters. The folded architectures consist of two parallel computation units (one for computations along the rows and the other for computations along the columns) and two storage units to store the intermediate outputs that are generated by the two units. The scheduling algorithms range from those that try to minimize the latency to those that try to minimize the control unit complexity and keep the data flow regular. A comparison of the scheduling algorithms has been included to aid the designer in choosing an algorithm that is best suited for a particular application.

Original languageEnglish (US)
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
PublisherIEEE
Pages3256-3259
Number of pages4
Volume6
StatePublished - 1996
EventProceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6) - Atlanta, GA, USA
Duration: May 7 1996May 10 1996

Other

OtherProceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6)
CityAtlanta, GA, USA
Period5/7/965/10/96

    Fingerprint

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Acoustics and Ultrasonics

Cite this

Chakrabarti, C., & Mumford, C. (1996). Efficient realizations of analysis and synthesis filters based on the 2-D discrete wavelet transform. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 6, pp. 3256-3259). IEEE.