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Design of multiplier free linear phase perfect reconstruction filter banks using transformations and genetic algorithms

    Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

    11 Citations (Scopus)

    Abstract

    Perfect reconstruction filter banks and discrete wavelet transforms are finding increasing applications within many image and video processing and coding applications. Due to the high data rates involved in image and video processing, there is a demand for low complexity high performance filter banks. Many of the existing filter bank designs rely on the use of floating point multipliers. These are both expensive to implement, and can lead to rounding errors if they are approximated. This paper considers the design of multiplier free 2-band filter banks, with linear phase and perfect reconstruction properties. The proposed design method also guarantees at least two zeros at the half sampling frequency of the low pass filter, and the zero frequency for the high pass filter
    Translated title of the contributionDesign of multiplier free linear phase perfect reconstruction filter banks using transformations and genetic algorithms
    Original languageEnglish
    Title of host publicationProc. IEE intl conf on image processing and its applications
    PublisherInstitution of Engineering and Technology (IET)
    Pages766 - 770
    Volume2
    ISBN (Print)085296692X
    DOIs
    Publication statusPublished - Jul 1997
    Event6th International Conference on Image Processing and Its Applications - Dublin, Ireland
    Duration: 1 Jul 1997 → …

    Publication series

    Name
    ISSN (Print)05379989

    Conference

    Conference6th International Conference on Image Processing and Its Applications
    Country/TerritoryIreland
    CityDublin
    Period1/07/97 → …

    Bibliographical note

    Rose publication type: Conference contribution

    Sponsorship: This work was funded by the engineering and physical
    sciences research council (EPSRC) grant number
    GWK25892. The authors also acknowledge the sulpport
    of the Centre for Communications Research at the
    University of Bristol and LSI Logic (Europe)

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