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IEEE/ICACT20230157 Slide.17        [Big Slide]       [YouTube]	Oral Presentation
	Here are the conclusions of this paper£¬ In this paper, we propose an EDRSN channel estimation scheme based on SLS algorithm, where the SLS algorithm considers the impact of the noise on channel estimation to improve the channel pre-estimation accuracy. In addition, CBAM and soft thresholding are introduced into the residual network to further extract the channel features and eliminate the noise. Simulation results demonstrate that the EDRSN scheme is more accurate compared with the other conventional channel estimation schemes. Our future research may focus on the design of lightweight networks to reduce the complexity while maintaining the accuracy of channel estimation.

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