Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
A Kalman filter model for signal estimation in the auditory system
Dissertation (MEng (Electronic Engineering))--University of Pretoria, 2006.
Saved in:
| Other Authors: | |
|---|---|
| Format: | Thesis |
| Published: |
University of Pretoria
2013
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613660664299520 |
|---|---|
| access_status_str | Open Access |
| author2 | Hanekom, J.J. (Johannes Jurgens) |
| author_browse | Hanekom, J.J. (Johannes Jurgens) |
| author_facet | Hanekom, J.J. (Johannes Jurgens) |
| collection | Thesis |
| dc_rights_str_mv | © 2005, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Dissertation (MEng (Electronic Engineering))--University of Pretoria, 2006. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/25392 |
| institution | University of Pretoria (South Africa) |
| last_indexed | 2026-06-10T12:39:41.079Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2013 |
| publishDateRange | 2013 |
| publishDateSort | 2013 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/25392 A Kalman filter model for signal estimation in the auditory system Hanekom, J.J. (Johannes Jurgens) samadhound@hotmail.com Hauger, Martin M Kalman filtering Analysis- Estimation Modelling Auditory system UCTD Dissertation (MEng (Electronic Engineering))--University of Pretoria, 2006. Using a Kalman filter that contains a forward-predictive model of a relevant system, to predict the states of that system by means of an analysis-by-synthesis implementation in order to evade significant time delays incurred by feedback mechanisms was previously applied to the coordinated movement of limbs by means of the cerebellum. In this dissertation, the same concept was applied to the auditory system in order to investigate if such a concept is a universal neurophysiological method for correctly estimating a state in a quick and reliable way. To test this assumption an auditory system model and Kalman estimator were designed, where the Kalman filter contained a stochastically equivalent forward-predictive model of the complete auditory system model. The Kalman filter was used to estimate the power found in a particular band of the frequency spectrum and its performance in the mean-squared error sense was compared to that of a simple postsynaptic current decoding filter under various types of neural channel noise. It was shown that the Kalman filter, containing a biologically plausible internal model could estimate the power better than a postsynaptic current decoding filter, proposed in the literature. When the just-noticeable difference in intensity discrimination, as reported in the literature, was compared to model-predictions, it was shown that a smaller mean-squared error results in the case of the designed auditory system model and Kalman estimator. This suggests that the application of the Kalman filter concept is important as it provides a bridge between measured data and the auditory system model. It was concluded that a Kalman filter model containing a biologically plausible internal model can explain some characteristics of the signal processing of the auditory system. The research suggests that the principle of an estimator that contains an internal model could be a universal neurophysiological method for the correct estimation of a desired state. Electrical, Electronic and Computer Engineering unrestricted 2013-09-06T21:09:30Z 2005-06-13 2013-09-06T21:09:30Z 2005-02-17 2006-06-13 2005-06-10 Dissertation Hauger, M 2005, A Kalman filter model for signal estimation in the auditory system, MEng dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/25392 > http://hdl.handle.net/2263/25392 http://upetd.up.ac.za/thesis/available/etd-06102005-093051/ © 2005, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | Kalman filtering Analysis- Estimation Modelling Auditory system UCTD A Kalman filter model for signal estimation in the auditory system |
| title | A Kalman filter model for signal estimation in the auditory system |
| title_full | A Kalman filter model for signal estimation in the auditory system |
| title_fullStr | A Kalman filter model for signal estimation in the auditory system |
| title_full_unstemmed | A Kalman filter model for signal estimation in the auditory system |
| title_short | A Kalman filter model for signal estimation in the auditory system |
| title_sort | kalman filter model for signal estimation in the auditory system |
| topic | Kalman filtering Analysis- Estimation Modelling Auditory system UCTD |
| url | http://hdl.handle.net/2263/25392 http://upetd.up.ac.za/thesis/available/etd-06102005-093051/ |