Channel Model

Channel models are mathematical or computational representations of signal transmission pathways, crucial for optimizing various systems from wireless communication to microscopy imaging. Current research emphasizes developing channel-adaptive models that handle varying numbers of channels and high-dimensional data, employing architectures like transformers and diffusion models to improve prediction accuracy and efficiency. These advancements are significant for improving the performance of diverse applications, ranging from accurate wireless channel prediction and efficient multimedia delivery to robust image analysis in microscopy.