Abstract: A channel state information CSI compression and feedback solution based on deep learning. In a large-scale multiple-input-multiple-output MIMO system, CSI is very important for the base station to achieve high performance gain. In a frequency division duplex FDD mode, user equipment UE needs to estimate CSI and then feed it back to the base station. Effective CSI compression will greatly reduce the cost of feedback. The present disclosure uses a two-dimensional sequence-to-sequence 2D Seq2Seq structure neural network to realize effective CSI compression and reconstruction. The base station uses CSI data to train the parameters of the neural network, which, after training, are deployed at the client and the base station for effective CSI compression and reconstruction. The present disclosure can realize high-precision compression and reconstruction of CSI, and provides an efficient and stable channel state information feedback method for a MIMO system.

Abstract: A video-specific super-resolution method includes obtaining an (i+1)th frame of image from a video, and obtaining image features of an ith frame of image in the video and long time series features before the ith frame of image, which are cached during super-resolution processing of the ith frame of image; performing super-resolution prediction on the image features of the ith frame of image, the long time series features before the ith frame of image, and the (i+1)th frame of image using a generative network, to obtain a super-resolution image of the (i+1)th frame of image, image features of the (i+1)th frame of image, and long time series features before the (i+1)th frame of image; and caching the image features of the (i+1)th frame of image and the long time series features before the (i+1)th frame of image, i being a positive integer greater than 2.

Abstract: The present disclosure relates to the technical field of coatings. In order to prepare a polyphenol coating more efficiently and gently on the surface of a material, the present disclosure provides a preparation method of a polyphenol coating, including the following steps: (1) preparing a Tanfloc aqueous solution; (2) adjusting the Tanfloc aqueous solution obtained in step (1) to be in a colloidal suspension state to obtain a modified solution; and (3) placing a carrier material in the modified solution prepared in step (2) to obtain a modified coating on a surface of the carrier material. In the present disclosure, by the preparation method of a polyphenol coating, the polyphenol coating can be efficiently prepared on a material surface under mild conditions.