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.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:hig-7317 |
Date | January 2010 |
Creators | Feng, Tianyang, Zhou, You |
Publisher | Högskolan i Gävle, Avdelningen för elektronik, matematik och naturvetenskap, Högskolan i Gävle, Avdelningen för elektronik, matematik och naturvetenskap |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
Page generated in 0.0018 seconds