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Department of Electrical Engineering

Neural cross-correlation for radio astronomy

Abstract

dc:description.abstract

Correlation engines are essential elements of most signal processing systems. Areas of applicability include image processing, speech synthesis and analysis, high energy physics, wireless and mobile communication systems, spread spectrum communication systems and even prosthetics. Finding cost effective and computationally less intensive engines is the thrust of most research. Neural networks have also been used as aids in making complex tasks relatively easy to process.

Degree

thesis:*
Grantor dc:publisher.institution
Department of Electrical Engineering
Year dc:date.issued
2010

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ngongoni, Chipo Nancy
Advisor dc:contributor.advisor
  • Tapson, Jonathan

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11427/11427
OAI identifier oai:identifier
oai:open.uct.ac.za:11427/11427

Chain of custody

source
Harvested from
University of Cape Town
Base URL
open.uct.ac.za/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Ngongoni, Chipo Nancy. Neural cross-correlation for radio astronomy. Department of Electrical Engineering, 2010. http://hdl.handle.net/11427/11427