DSpace@nitr >
National Institue of Technology- Rourkela >
Conference Papers >

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/812

Title: A novel concept of embedding orthogonal basis function expansion in a feedforward neural equaliser
Authors: Das, S
Keywords: equalisers
error statistics
feedforward neural nets
genetic algorithms
telecommunication computing
Issue Date: 2008
Publisher: IEEE
Citation: Annual IEEE India Conference, 2008. INDICON 2008, 11-13 Decemeber, Kanpur, P 519-524
Abstract: The proposed neural equaliser structure is based on an orthogonal basis function (OBF) expansion technique, motivated by genetic evolutionary concept, which utilizes a self-breeding approach to evolve new information so as to consolidate the final output.The equaliser structure developed using this novel approach has outperformed the conventional multilayer feedforward neural network (FNN) equaliser with a wide margin and its bit-error-rate performance is close to that of an optimal Bayesian equaliser. Also it learns faster with less training samples.Application of this proposed technique also reduces the structural complexity of a conventional FNN equaliser and has the potential to become a challenging candidate for real-time implementation issue.
Description: Copyright for the paper belongs to IEEE
URI: http://dx.doi.org/10.1109/INDCON.2008.4768778
http://hdl.handle.net/2080/812
Appears in Collections:Conference Papers

Files in This Item:

File Description SizeFormat
das-indicon-2008.pdf311KbAdobe PDFView/Open

Show full item record

All items in DSpace are protected by copyright, with all rights reserved.

 

Powered by DSpace Feedback