Neural network based receivers for communication systems
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...
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| Format: | Thesis |
| Language: | English |
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2009
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| Online Access: | http://hdl.handle.net/10356/19658 |
| _version_ | 1826120777832857600 |
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| author | Sowmya Sundararajan. |
| author2 | Saratchandran |
| author_facet | Saratchandran Sowmya Sundararajan. |
| author_sort | Sowmya Sundararajan. |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T05:22:01Z |
| format | Thesis |
| id | ntu-10356/19658 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:22:01Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | ntu-10356/196582023-07-04T15:48:44Z Neural network based receivers for communication systems Sowmya Sundararajan. Saratchandran School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems 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. Master of Science (Communications and Computer Networking) 2009-12-14T06:20:14Z 2009-12-14T06:20:14Z 1996 1996 Thesis http://hdl.handle.net/10356/19658 en NANYANG TECHNOLOGICAL UNIVERSITY 168 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Sowmya Sundararajan. Neural network based receivers for communication systems |
| title | Neural network based receivers for communication systems |
| title_full | Neural network based receivers for communication systems |
| title_fullStr | Neural network based receivers for communication systems |
| title_full_unstemmed | Neural network based receivers for communication systems |
| title_short | Neural network based receivers for communication systems |
| title_sort | neural network based receivers for communication systems |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems |
| url | http://hdl.handle.net/10356/19658 |
| work_keys_str_mv | AT sowmyasundararajan neuralnetworkbasedreceiversforcommunicationsystems |