relation: https://khub.utp.edu.my/scholars/5388/
title: Infomax algorithm for filtering airwaves in the field of seabed logging
creator: Ansari, A.
creator: Bt Shafie, A.
creator: Ansari, S.
creator: Md Said, A.B.
creator: Rauf, M.
creator: Nyamasvisva, E.T.
description: This research focuses on applying Independent Component Analysis (ICA) in the field of Seabed Logging (SBL). ICA is a statistical method for transforming an observed multidimensional or multivariate dataset into its constituent components (sources) that are statistically as independent from each other as possible. ICA-type de-convolution algorithm, Infomax is suitable for mixed signals de-convolution, is proposed and considered convenient depending upon the nature of the source and noise model, in the application of seabed logging. Infomax is applied in the domain of marine Controlled Source Electro Magnetic (CSEM) sensing method used for the detection of hydrocarbons based reservoirs in seabed logging application. The task is to identify the air waves and to filter them out. The infomax algorithm of ICA is considered for filtering the airwaves. © Maxwell Scientific Organization, 2014.
publisher: Maxwell Science Publications
date: 2014
type: Article
type: PeerReviewed
identifier:   Ansari, A. and Bt Shafie, A. and Ansari, S. and Md Said, A.B. and Rauf, M. and Nyamasvisva, E.T.  (2014) Infomax algorithm for filtering airwaves in the field of seabed logging.  Research Journal of Applied Sciences, Engineering and Technology, 7 (14).  pp. 2914-2920.  ISSN 20407459     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84899729452&doi=10.19026%2frjaset.7.621&partnerID=40&md5=ce41dd94b02f2cb45aeaac0973e7532f
relation: 10.19026/rjaset.7.621
identifier: 10.19026/rjaset.7.621