A Computational Model for Adaptive Communication Channel Estimation - Solomon, Akinboro
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The work formulated a variable partial update model for adaptive communication channel estimation with a view to improving signal error at the receiver station. The proposed model consist of discrete signal input, unknown channel, digital filter and adaptation algorithm. The digital filter is a finite impulse response transversal adaptive filter while the adaptation algorithm is a least mean square algorithm. The model was implemented using variable partial update of the filter coefficients.

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Produktbeschreibung
The work formulated a variable partial update model for adaptive communication channel estimation with a view to improving signal error at the receiver station. The proposed model consist of discrete signal input, unknown channel, digital filter and adaptation algorithm. The digital filter is a finite impulse response transversal adaptive filter while the adaptation algorithm is a least mean square algorithm. The model was implemented using variable partial update of the filter coefficients.
Autorenporträt
Akinboro Solomon A. is a lecturer at Bells University of Technology, Ota, Nigeria.He holds a B.Tech in Computer Engineering from Ladoke Akintola University of Technology,Ogbomosho, M.Sc. in Computer Science from Obafemi Awolowo University (O.A.U),Ile-Ife and a PhD research student from O.A.U Ile-Ife.Research focus is Network security.