Neural cross-correlation for radio astronomy

Master Thesis

2010

Permanent link to this Item
http://hdl.handle.net/11427/11427
Files
thesis_ebe_2010_ngongoni_c.pdf (1.58 MB)
Authors
Ngongoni, Chipo Nancy
Supervisors
Tapson, Jonathan
Journal Title
Link to Journal
Journal ISSN
Volume Title
Publisher
Publisher

University of Cape Town

Department
Department of Electrical Engineering
Faculty
Faculty of Engineering and the Built Environment
License
Series
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.
Description

Includes abstract.


Includes bibliographical references (leaves 56-62).

Keywords
Electrical Engineering

Reference:

Ngongoni, C. 2010. Neural cross-correlation for radio astronomy. University of Cape Town.

Collections
Masters