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Disturbing Sound Cancellation Using System Identification

Disturbing sound sometimes should be cancelled when music has been recorded. In this thesis, MATLAB was used as a tool. System identification was a main method used to find the unknown system. By subtracting the simulated output, disturbing sound was cancelled. Two different systems were identified with both linear (ARX) model and nonlinear (Parallel Hammerstein) model. The quality of these models was measured and compared using different methods. Possibility to implement this work on hardware was also discussed.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:hig-7317
Date January 2010
CreatorsFeng, Tianyang, Zhou, You
PublisherHögskolan i Gävle, Avdelningen för elektronik, matematik och naturvetenskap, Högskolan i Gävle, Avdelningen för elektronik, matematik och naturvetenskap
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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