Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
The application of neural networks to communication channel equalisation : a comparison between localised and non-localised basis functions
Bibliography: leaves. 63-66.
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Electrical Engineering
2014
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613154062630912 |
|---|---|
| access_status_str | Open Access |
| author | Olshewsky, Avron Bernard |
| author2 | Greene, John |
| author_browse | Greene, John Olshewsky, Avron Bernard |
| author_facet | Greene, John Olshewsky, Avron Bernard |
| author_sort | Olshewsky, Avron Bernard |
| collection | Thesis |
| description | Bibliography: leaves. 63-66. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/9472 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:31:35.974Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | Department of Electrical Engineering |
| publisherStr | Department of Electrical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/9472 The application of neural networks to communication channel equalisation : a comparison between localised and non-localised basis functions Olshewsky, Avron Bernard Greene, John Electrical Engineering Bibliography: leaves. 63-66. Neural networks have been applied to a number of problems over the past few years. One of the emerging applications of neural networks is adaptive communication channel equalisation. This area of research has become prominent due to the reformulation of the equalisation problem as a classification problem. Viewing equalisation as a classification problem allows researchers to apply the knowledge gained from other fields to equalisation. A wide variety of neural network structures have been suggested to equalise communication channels. Each structure may in turn have a number of different possible algorithms to train the equaliser. A neural network is essentially a non-linear classifier; in general a neural network is able to classify data by employing a non-linear function. The primary subject of this dissertation is the comparative performance of neural networks employing non-localised basis (non-linear) functions (Multi-layer Perceptron) versus those employing localised basis functions (Radial Basis Function Network). 2014-11-10T08:54:54Z 2014-11-10T08:54:54Z 1997 Master Thesis Masters MSc http://hdl.handle.net/11427/9472 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Electrical Engineering Olshewsky, Avron Bernard The application of neural networks to communication channel equalisation : a comparison between localised and non-localised basis functions |
| thesis_degree_str | Master's |
| title | The application of neural networks to communication channel equalisation : a comparison between localised and non-localised basis functions |
| title_full | The application of neural networks to communication channel equalisation : a comparison between localised and non-localised basis functions |
| title_fullStr | The application of neural networks to communication channel equalisation : a comparison between localised and non-localised basis functions |
| title_full_unstemmed | The application of neural networks to communication channel equalisation : a comparison between localised and non-localised basis functions |
| title_short | The application of neural networks to communication channel equalisation : a comparison between localised and non-localised basis functions |
| title_sort | application of neural networks to communication channel equalisation a comparison between localised and non localised basis functions |
| topic | Electrical Engineering |
| url | http://hdl.handle.net/11427/9472 |
| work_keys_str_mv | AT olshewskyavronbernard theapplicationofneuralnetworkstocommunicationchannelequalisationacomparisonbetweenlocalisedandnonlocalisedbasisfunctions AT olshewskyavronbernard applicationofneuralnetworkstocommunicationchannelequalisationacomparisonbetweenlocalisedandnonlocalisedbasisfunctions |