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This thesis is concerned with automatic transcription of monophonic audio signals into the MIDI representation. The transcription system incorporates two separate algorithms in order to extract the necessary musical information from the audio signal. The detection of the fundamental frequency is based on a pattern recognition method applied on the constant(More)
The complexity and diversity of building automation systems (BAS) and the various faults that may happen in buildings make it very challenging to set up fault detection and diagnostics (FDD). This knowledge-intensive, expensive tasks urgently needs to be automated due to the limited time and budget available in this domain. A novel approach for(More)
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