MURAL - Maynooth University Research Archive Library

    Improving the Chamberlin Digital State Variable Filter

    Lazzarini, Victor and Timoney, Joseph (2022) Improving the Chamberlin Digital State Variable Filter. Journal of the Audio Engineering Society. pp. 1-11. ISSN 1549-4950

    [img] Download (1MB)

    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...

    Add this article to your Mendeley library


    The state variable filter configuration is a classic analogue design which has been employed in many electronic music applications. A digital implementation of this filter was put forward by Chamberlin, which has been deployed in both software and hardware forms. While this has proven to be a straightforward and successful digital filter design, it suffers from some issues, which have already been identified in the literature. From a modified Chamberlin block diagram, we derive the transfer functions describing its three basic responses, highpass, bandpass, and lowpass. An analysis of these leads to the development of an improvement, which attempts to better shape the filter spectrum. From these new transfer functions, a set of filter equations is developed. Finally, the approach is compared to an alternative time-domain based re-organisation of update equations, which is shown to deliver a similar result.

    Item Type: Article
    Keywords: Improving; chamberlin; digital state; variable filter;
    Academic Unit: Assisting Living & Learning,ALL institute
    Faculty of Arts & Humanities > Music
    Item ID: 18520
    Depositing User: Dr Victor Lazzarini
    Date Deposited: 15 May 2024 11:04
    Journal or Publication Title: Journal of the Audio Engineering Society
    Publisher: Audio Engineering Society
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

    Repository Staff Only(login required)

    View Item Item control page


    Downloads per month over past year

    Origin of downloads