Blind Deconvolution Using the Eigenvector Algorithm (Eva) Method for the Enhancement of Bearing Signal Through the Transmission Channel


Autoria(s): Karimi, Mahdi; Mathew, Joseph; Tan, Andy
Contribuinte(s)

Mathew, J

Kennedy, J

Ma, L

Tan, A

Anderson, D

Data(s)

2006

Identificador

http://eprints.qut.edu.au/24306/

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