An Upper Bound on the Performance of a Novel Feedforward Perceptron Equalizer
| dc.contributor.author | Pulford, Graham W. | en |
| dc.contributor.author | Kennedy, Rodney A. | en |
| dc.contributor.author | Anderson, Brian D.O. | en |
| dc.date.accessioned | 2026-01-02T21:41:35Z | |
| dc.date.available | 2026-01-02T21:41:35Z | |
| dc.date.issued | 1993 | en |
| dc.description.abstract | The emulation of a nonadaptive, binary decision feedback equalizer, operating on a noiseless, finite impulse response channel by a feedforward multilayer processor is considered. This feedforward perceptron equalizer comprises a triangular array of hard-limiting processing elements. The functional similarity between the two systems is exploited to obtain a tight upper bound on the probability of error as a function of the number of layers, using the theory of finite state Markov processes. | en |
| dc.description.sponsorship | Manuscript received July 30, 1991; revised April 27, 1992. This work was supported in part by the Australian Telecommunications and Electronics Research Board, the ANU Centre for Information Science Research, and the Australian Research Council. This paper was presented at the International Conference on Acoustics, Speech, and Signal Processing (ICASSP’91), Toronto, Ont., Canada, May 1991. G. W. Pulford is with the Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, Victoria 3052 Australia. R. A. Kennedy is with the Department of Engineering, Faculty of Engineering and Information Technology, The Australian National University, Canberra ACT 0200 Australia. B. D. 0. Anderson is with the Department of Systems Engineering, Research School of Physical Sciences and Engineering, The Australia National University, Canberra, ACT 0200 Australia. IEEE Log Number 9213029. | en |
| dc.description.status | Peer-reviewed | en |
| dc.format.extent | 7 | en |
| dc.identifier.issn | 0018-9448 | en |
| dc.identifier.other | ORCID:/0000-0002-1493-4774/work/174739588 | en |
| dc.identifier.scopus | 0027702819 | en |
| dc.identifier.uri | https://hdl.handle.net/1885/733803153 | |
| dc.language.iso | en | en |
| dc.source | IEEE Transactions on Information Theory | en |
| dc.subject | Equalization | en |
| dc.subject | error probability upper bound | en |
| dc.subject | feedforward perceptron equalizer | en |
| dc.subject | finite-state Markov processes | en |
| dc.subject | multilayer perceptron neural networks | en |
| dc.title | An Upper Bound on the Performance of a Novel Feedforward Perceptron Equalizer | en |
| dc.type | Journal article | en |
| dspace.entity.type | Publication | en |
| local.bibliographicCitation.lastpage | 1929 | en |
| local.bibliographicCitation.startpage | 1923 | en |
| local.contributor.affiliation | Pulford, Graham W.; University of Melbourne | en |
| local.contributor.affiliation | Kennedy, Rodney A.; School of Engineering, ANU College of Systems and Society, The Australian National University | en |
| local.contributor.affiliation | Anderson, Brian D.O.; School of Engineering, ANU College of Systems and Society, The Australian National University | en |
| local.identifier.citationvolume | 39 | en |
| local.identifier.doi | 10.1109/18.265500 | en |
| local.identifier.pure | 19fa79e5-cf32-4ab9-badf-4055b3c05482 | en |
| local.identifier.url | https://www.scopus.com/pages/publications/0027702819 | en |
| local.type.status | Published | en |