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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
出現コレクション:1.査読済論文(工)

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