Leung, HenryKonavattam Shanmugam, Surendran2005-08-162005-08-1620040612975630http://hdl.handle.net/1880/41677Bibliography: p. 102-112This thesis attempts to harness the unique features of chaos theory and evolutionary com­putation to develop novel design methodologies for solving communication system design problems. The contributions of the thesis is two-fold. First, a novel design methodology based on genetic programming and DNA computation to improve the performance of con­ventional communication system was proposed. Second, it develops a non-coherent chaotic spread spectrum system that is robust to channel noise and distortions. The developed scheme has better performance over conventional spread spectrum system in realistic chan­nel environments. The application of the developed scheme to powerline communications in smart home networking was also investigated. Finally, a novel multilevel chaotic commu­nication that performs both modulation and spreading is proposed. Genetic programming was used to design the underlying chaotic system for this communication scheme. Theoret­ical formulations and extensive numerical analysis were performed to show the advantages of these schemes. The research work presented in this thesis can be viewed as a small step towards achieving the aforementioned goal.xiii, 112 leaves : ill. ; 30 cm.engUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.master thesis10.11575/PRISM/16542AC1 .T484 2004 K665