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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/690

Title: Adaptive Equalisation of Communication Channels Using ANN Techniques
Authors: Das, Susmita
Satapathy, J K (Guide)
Keywords: Adaptive Equalisation
Inter Symbol Interference
Communication Channel
Decision Feedback Equaliser
Nonlinear Equalisers
Feedforward Neural Network
Issue Date: 2004
Publisher: National Institute of Technology, Rourkela
Citation: Adaptive Equalisation of Communication Channels Using ANN Techniques, Thesis submitted in partial fulfillment of the requirements for the award of the Doctor of Philosophy in Electrical Engineering, Submitted to National Institute of Technology, Rourkela
Abstract: Channel equalisation is a process of compensating the disruptive effects caused mainly by Inter Symbol Interference in a band-limited channel and plays a vital role for enabling higher data rate in digital communication. The development of new training algorithms, structures and the selection of the design parameters for equalisers are active fields of research which are exploiting the benefits of different signal processing techniques. Designing efficient equalisers based on low structural complexity, is also an area of much interest keeping in view of real-time implementation issue. However, it has been widely reported that optimal performance can only be realised using nonlinear equalisers. As Artificial Neural Networks are inherently nonlinear processing elements and possess capabilities of universal approximation and pattern classification, these are well suited for developing high performance adaptive equalisers. This proposed work has significantly contributed to the d...
Description: Copyright for the thesis belongs to National Institute of Technology Rourkela
URI: http://hdl.handle.net/2080/690
Appears in Collections:Thesis (Doctor of Philosophy)

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