dc.date.accessioned | 2019-07-04T05:28:43Z | |
dc.date.available | 2019-07-04T05:28:43Z | |
dc.date.created | 2019-06-07T14:41:09Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Fasciani, Stefano Vohra, Manohar . Towards a High-Performance Platform for Sonic Interaction Interfaces. SMC 2019 Proceedings of the 16th Sound & Music Computing Conference. 2019, 97-104. Malaga: Society for Sound and Music Computing | |
dc.identifier.uri | http://hdl.handle.net/10852/68597 | |
dc.description.abstract | In this paper we introduce a hardware platform to proto- type interfaces of demanding sonic interactive systems. We target applications featuring a large array of analog sensors requiring data acquisition and transmission to computers at fast rates, with low latency, and high band- width. This work is part of an ongoing project which aims to provide designers with a cost effective and acces- sible platform for fast prototyping of complex interfaces for sonic interactive systems or musical instruments. The high performances are guaranteed by a SoC FPGA. The functionality of the platform can be customized without requiring significant technical expertise. In this paper, we discuss the principles, the current design, and the prelim- inary evaluation against common microcontroller-based platforms. The proposed platform can sample up to 96 analog channels at rates up to 24 kHz and stream the data via UDP to computers with a sub millisecond latency. | |
dc.language | EN | |
dc.publisher | Society for Sound and Music Computing | |
dc.relation.ispartof | Proceedings of the SMC Conferences | |
dc.relation.ispartofseries | Proceedings of the SMC Conferences | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.title | Towards a High-Performance Platform for Sonic Interaction Interfaces | |
dc.type | Chapter | |
dc.creator.author | Fasciani, Stefano | |
dc.creator.author | Vohra, Manohar | |
cristin.unitcode | 185,14,36,0 | |
cristin.unitname | Institutt for musikkvitenskap | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.fulltext | original | |
dc.identifier.cristin | 1703523 | |
dc.identifier.bibliographiccitation | info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.btitle=SMC 2019 Proceedings of the 16th Sound & Music Computing Conference&rft.spage=97&rft.date=2019 | |
dc.identifier.startpage | 97 | |
dc.identifier.endpage | 104 | |
dc.identifier.pagecount | 594 | |
dc.identifier.doi | http://dx.doi.org/10.5281/zenodo.3249278 | |
dc.identifier.urn | URN:NBN:no-71752 | |
dc.type.document | Bokkapittel | |
dc.type.peerreviewed | Peer reviewed | |
dc.source.isbn | 978-84-09-08518-7 | |
dc.identifier.fulltext | Fulltext https://www.duo.uio.no/bitstream/handle/10852/68597/1/FascianiVohra_SMC2019.pdf | |
dc.type.version | PublishedVersion | |
cristin.btitle | SMC 2019 Proceedings of the 16th Sound & Music Computing Conference | |