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Black-Box Modelling of Nonlinear Audio Circuits

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Esqueda, Fabián
dc.contributor.author Rollo, Craig
dc.date.accessioned 2018-04-03T13:24:51Z
dc.date.available 2018-04-03T13:24:51Z
dc.date.issued 2018-03-19
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/30521
dc.description.abstract This Thesis details various black-box modelling techniques for nonlinear audio circuits. The aim of this work was to compare the different approaches and determine the current most accurate model. The models analysed were: Chebyshev polynomials, Hammerstein, polynomials of best fit and a parametric model. These implementations were compared based on their spectral accuracy and time-domain accuracy. From the analysis of these models, a new method is proposed. This proposed model restructures the determined most accurate black-box model by placing a nonlinearity between a high-pass and a low-pass filter. The filters emulate the linear response of the nonlinear circuit. These filters also have a reduced filter order in comparison to the linear response. The proposed method results in a model that performs close to the current best but does result in a massive reduction in computational time, up to 95% less time required and 99% fewer operations. en
dc.format.extent 6 + 43
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.title Black-Box Modelling of Nonlinear Audio Circuits en
dc.type G2 Pro gradu, diplomityö fi
dc.contributor.school Sähkötekniikan korkeakoulu fi
dc.subject.keyword acoustic signal processing en
dc.subject.keyword nonlinear circuits en
dc.subject.keyword filters en
dc.subject.keyword nonlinear distortion en
dc.identifier.urn URN:NBN:fi:aalto-201804031985
dc.programme.major Acoustics and Audio Technology fi
dc.programme.mcode ELEC3030 fi
dc.type.ontasot Master's thesis en
dc.type.ontasot Diplomityö fi
dc.contributor.supervisor Välimäki, Vesa
dc.programme CCIS - Master’s Programme in Computer, Communication and Information Sciences (TS2013) fi
dc.ethesisid Aalto 9793
dc.location P1 fi

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