Complex-Valued and Quaternion Neural Networks to Deal with Complex Amplitude and Polarization: Their Strength in Electronics
書誌事項
- 公開日
- 2018-11
- 資源種別
- journal article
- DOI
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- 10.23919/apsipa.2018.8659590
- 公開者
- IEEE
説明
This paper discusses the advantages in complex-valued and quaternion neural networks (CVNNs and QNNs) by presenting important concepts as well as applications in electronic engineering. Essentially, CVNNs and QNNs have excellent generalization ability in the learning of two- and three-dimensional rotation and scaling, respectively. Its origin is the sparsity in themselves as complex and quaternion numbers. The ability is useful in particular in adaptive processing of waves consisting of complex amplitude (amplitude and phase) and/or polarization. We consider an example in communications where we deal with channel prediction to discuss the superiority in CVNNs and its basics.
収録刊行物
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- 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
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2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 566-571, 2018-11
IEEE
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詳細情報 詳細情報について
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- CRID
- 1360021390749202048
-
- 資料種別
- journal article
-
- データソース種別
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- Crossref
- KAKEN
- OpenAIRE
