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"Deep Griffin-Lim Iteration: Trainable Iterative Phase Reconstruction Using ..."

Yoshiki Masuyama et al. (2021)

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DOI: 10.1109/JSTSP.2020.3034486

access: open

type: Journal Article

metadata version: 2023-07-27

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  - https://dblp.org/rec/journals/jstsp/MasuyamaYKOH21
Yoshiki Masuyama, Kohei Yatabe, Yuma Koizumi, Yasuhiro Oikawa, Noboru Harada:
Deep Griffin-Lim Iteration: Trainable Iterative Phase Reconstruction Using Neural Network. IEEE J. Sel. Top. Signal Process. 15(1): 37-50 (2021)

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