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タイトル: A neural demodulator for quadrature amplitude modulation signals
著者: Ohnishi, K.
Nakayama, Kenji link image
中山, 謙二
発行日: 1996年 6月
出版社(者): IEEE(Institute of Electrical and Electronics Engineers)
雑誌名: IEEE International Conference on Neural Networks - Conference Proceedings
ISSN: 1098-7576
開始ページ: 1933
終了ページ: 1937
抄録: A neural demodulator is proposed for quadrature amplitude modulation (QAM) signals. It has several important features compared with conventional linear methods. First, necessary functions for the QAM demodulation, including wide-band noise rejection, pulse waveform shaping, and decoding, can be embedded in a single neural network. This means that these functions are not separately designed but are unified in a learning process. Second, these functions can be self-organized through the learning. Supervised learning algorithms, such as the back-propagation algorithm, can be applied for this purpose. Finally, both wide-band noise rejection and a very sharp waveform response can be simultaneously achieved. It is very difficult to be done by linear filtering. Computer simulation demonstrates efficiency of the proposed method.
URI: http://hdl.handle.net/2297/6835
資料種別: Conference Paper
版表示: publisher

このアイテムを引用あるいはリンクする場合は次の識別子を使用してください。 http://hdl.handle.net/2297/6835



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