AR and ARMA system identification techniques under heavy noisy conditions and their applications to speech analysis
System identification under noisy environment has axiomatic importance in numerous fields, such as communication, control, and signal processing. The system identification is to estimate and validate the parameters of the system from its output observations, a task that becomes very difficult when t...
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http://spectrum.library.concordia.ca/975203/1/NR45658.pdfFattah, Shaikh Anowarul <http://spectrum.library.concordia.ca/view/creators/Fattah=3AShaikh_Anowarul=3A=3A.html> (2008) AR and ARMA system identification techniques under heavy noisy conditions and their applications to speech analysis. PhD thesis, Concordia University.