Chao-Kai Wen — accepted AI-conference papers

2020

Decentralized expected consistent signal recovery for quantization Measurements

Chang-Jen Wang, Chao-Kai Wen, Shang-Ho Tsai, Shi Jin

ICASSP 2020accepted

Signal recovery through coarse quantization of a linear transform output has many applications in engineering, such as channel estimation and signal detection in massive MIMO systems. A recently proposed scheme, known as generalized expectation consistent signal recovery (GEC-SR), can achieve Bayesi…

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2019

Deep Learning Based on Orthogonal Approximate Message Passing for CP-Free OFDM

Jing Zhang, Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li

ICASSP 2019accepted

Channel estimation and signal detection are very challenging for an orthogonal frequency division multiplexing (OFDM) system without cyclic prefix (CP). In this article, deep learning based on orthogonal approximate message passing (DL-OAMP) is used to address these problems. The DL-OAMP receiver in…

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