Blind Deconvolution Using the Eigenvector Algorithm (Eva) Method for the Enhancement of Bearing Signal Through the Transmission Channel
Contribuinte(s) |
Mathew, J Kennedy, J Ma, L Tan, A Anderson, D |
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Data(s) |
2006
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Identificador | |
Publicador |
Springer-Verlag London Ltd |
Relação |
Karimi, Mahdi, Mathew, Joseph, & Tan, Andy (2006) Blind Deconvolution Using the Eigenvector Algorithm (Eva) Method for the Enhancement of Bearing Signal Through the Transmission Channel. In Mathew, J, Kennedy, J, Ma, L, Tan, A, & Anderson, D (Eds.) Proceedings of the 1st World Congress on Engineering Asset Management (WCEAM), 11- 14 July 2006, Australia, Queensland, Gold Coast. |
Fonte |
Faculty of Built Environment and Engineering; School of Engineering Systems |
Palavras-Chave | #080108 Neural Evolutionary and Fuzzy Computation #090609 Signal Processing #091399 Mechanical Engineering not elsewhere classified #Condition Monitoring, Asset Management, Maintenance, Signal Processing, Diagnostics |
Tipo |
Conference Paper |