Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/19658
Title: Neural network based receivers for communication systems
Authors: Sowmya Sundararajan.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Issue Date: 1996
Abstract: Continuous phase modulation (CPM) schemes are attractive for use in peak-power limited transmission systems such as satellite transmission systems. However, their drawback lies in their prohibitively complex receiver structures. They consist of a bank of matched filters followed by a Viterbi decoder which draws heavily on computational resources. Feed-forward neural-nets are therefore proposed to replace this complex receiver structure.
URI: http://hdl.handle.net/10356/19658
Rights: NANYANG TECHNOLOGICAL UNIVERSITY
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

Files in This Item:
File Description SizeFormat 
EEE_THESES_199.pdf
  Restricted Access
13.33 MBAdobe PDFView/Open

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.