SurReal: Complex-Valued Learning as Principled Transformations on a Scaling and Rotation Manifold

Complex-valued data are ubiquitous in signal and image processing applications, and complex-valued representations in deep learning have appealing theoretical properties. While these aspects have long been recognized, complex-valued deep learning continues to lag far behind its real-valued counterpa...

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Veröffentlicht in:IEEE transaction on neural networks and learning systems 2022-03, Vol.33 (3), p.940-951
Hauptverfasser: Chakraborty, Rudrasis, Xing, Yifei, Yu, Stella X.
Format: Artikel
Sprache:eng
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