An integral-form imaging model cancels intra-pixel phase errors, permitting larger pixel sizes in computational-imaging ISAC environment sensing.
Edge learning for B5G networks with distributed signal processing: Semantic communication, edge computing, and wireless sensing,
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Computational Imaging-Based ISAC Method with Large Pixel Division
An integral-form imaging model cancels intra-pixel phase errors, permitting larger pixel sizes in computational-imaging ISAC environment sensing.