時間：115年6月05日(星期五13：00- 15：00)

地點：臺北大學三峽校區音律電機資訊大樓B1萬榮講堂

大綱：

One-bit compressive sensing (1-bit CS) is an attractive low-bit-resolution signal processing technique that has been successfully applied to the design of large-scale wireless networks. In this talk, we will investigate the problem of 1-bit CS in wireless sensor networks, where a fusion center (FC) aims to recover a sparse signal from binary measurements corrupted by channel-induced bit-flipping errors. Unlike conventional recovery methods that rely solely on measurement signs, we propose a novel amplitude-assisted signal retrieval framework to enhance robustness against noise and bit flips. We show that perfect support recovery can be achieved via a simple energy detection rule under mild sensing conditions. Furthermore, we establish rigorous theoretical guarantees for the convergence of the proposed algorithm.