Abstract: Disclosed is a video decoding method, including: obtaining a current video frame, the current video frame being partitioned into a plurality of regions; obtaining a syntax element carried in syntax data corresponding to each of the plurality of regions, the syntax element being used for indicating a resolution used to decode the region, and a plurality of resolutions used to decode the plurality of regions including at least two different resolutions; and decoding the each of the plurality of regions by using the resolution corresponding to the region. The plurality of resolutions are determined according to a transmission bandwidth of a video stream including the current video frame from a source to a destination, e.g., by comparing the transmission bandwidth with a preset bandwidth threshold.

Abstract: The present disclosure relates to feedback methods and apparatuses. In one example method, a first communication apparatus may receive first information. The first information includes at least one of channel state information (CSI) measurement quantity indication information for channel variation calculation, a CSI type and a rule that are for the channel variation calculation, or a feedback suggestion parameter. The feedback suggestion parameter indicates a suggested feedback form. The first information is used to select a second communication apparatus. The first communication apparatus may determine, based on the first information, whether to trigger the second communication apparatus/apparatuses to send a feedback result. Correspondingly, the first communication apparatus receives the feedback result.

Abstract: A method includes: An access point generates an NDPA frame, where the NDPA frame includes a station information field, and the station information field includes an AID subfield indicating an association identifier AID of a station; the station information field further includes a partial bandwidth information subfield; the partial bandwidth information subfield indicates an RU that is in a bandwidth corresponding to the NDPA frame and for which the station needs to feed back channel state information; and the bandwidth corresponding to the NDPA frame is greater than 160 MHz. The access point transmits the NDPA frame.

Abstract: A video decoding method is disclosed and performed by an electronic device, the method including: obtaining a first resolution used in decoding a current block and a second resolution used in decoding a reference block in a current video frame, the reference block being a reference block used for performing directional prediction on the current block in the current video frame; building a reconstruction block from the reference block; when the first resolution is greater than the second resolution, adjusting the reconstruction block of the reference block to the first resolution to obtain a first reconstruction block; and performing directional prediction on the current block according to the first reconstruction block and the current block.

Abstract: A method includes: A station receives a trigger frame from an access point. The trigger frame is used to trigger the station to perform EHT TB PPDU transmission, the trigger frame further indicates a resource unit allocated to the station, and the trigger frame includes first indication information indicating that the station can perform EHT TB PPDU transmission on a portion of the allocated resource unit. The station sends an EHT TB PPDU based on an indication of the first indication information.

Abstract: Embodiments of this disclosure provide a data transmission method, a communication apparatus, a computer-readable storage medium, and a chip. The method includes: generating, by a first multi-link device, a management frame, where the management frame includes a receiver address, a transmitter address, and link indication information, and the link indication information indicates that the management frame is applied to at least one link corresponding to the link indication information; and sending the management frame to a second multi-link device on a link on which a station indicated by the receiver address or a station indicated by the transmitter address operates.

Abstract: This application relates to the field of wireless communication, and in particular, to individually addressed traffic indication methods and apparatuses applicable to multiple links, for example, in a wireless local area network supporting an 802.11be standard. In an example method, a first access point (AP) of a first access point multi-link device (AP MLD) generates and sends individually addressed traffic indication information. The individually addressed traffic indication information is used to indicate whether a non-AP MLD associated with the first AP MLD has a downlink individually addressed traffic and whether a non-AP MLD associated with a second AP MLD has a downlink individually addressed traffic. The second AP MLD is an AP MLD to which a non-transmitted AP belongs. The non-transmitted AP is in a multiple basic service set identifier (BSSID) set in which the first AP is located.

Abstract: Embodiments of this disclosure provide a data transmission method, a communication apparatus, a computer-readable storage medium, and a chip. The method includes: generating, by a first multi-link device, a management frame, where the management frame includes a receiver address, a transmitter address, and link indication information, and the link indication information indicates that the management frame is applied to at least one link corresponding to the link indication information; and sending the management frame to a second multi-link device on a link on which a station indicated by the receiver address or a station indicated by the transmitter address operates.

Abstract: A method and a system of hybrid data-and-model-driven hierarchical network reconfiguration are provided. Taking into account that the optimal operation structure of the power grid may change after a new energy is connected into the power grid in the distribution manner, this method combines the mathematical model of network reconfiguration and clustering with the deep learning model, and uses data recorded by the smart meter, to reconfigure the network in a hybrid data-and-model driving mode. This method proposes a network compression method and a hierarchical decompression method based on deep learning, and improves the efficiency of network reconfiguration by the way of distributed calculation and combination of on-line and off-line calculation.

Abstract: The present disclosure describes a method for repairing a cathode material of a spent lithium-ion battery, which includes: mixing the cathode material of the spent lithium-ion battery, a lithium sheet, a solid oxidant and absolute ethanol under a protective atmosphere for repairing to obtain a repaired cathode material of the lithium-ion battery, where a temperature for the repairing is 20-70° C.; a ratio of the amount of substance of lithium atoms to the total amount of substance of other metal atoms in the cathode material of the spent lithium-ion battery is (0.5-1):1, excluding 1:1.

Abstract: The present disclosure provides an automatic separation apparatus for four fractions of heavy oil and a separation method thereof, wherein the apparatus includes a solvent reservoir tank (1), a separation unit for four fractions of heavy oil (100) and a receiving apparatus (9). The separation unit for four fractions of heavy oil (100) includes: a filter disc (4) having one end in communication with the solvent reservoir tank (1), and the other end in communication with an inlet of a pre-column flow path switching valve (5); a chromatographic column (6) having an inlet in communication with an outlet of the pre-column flow path switching valve (5), and an outlet in communication with an inlet of a post-column flow path switching valve (8). The receiving apparatus is in communication with an outlet of the post-column flow path switching valve (8).

Abstract: The present disclosure relates to a method and a system of hybrid data-and-model-driven hierarchical network reconfiguration. Taking into account that the optimal operation structure of the power grid may change after a new energy is connected into the power grid in the distribution manner, this method combines the mathematical model of network reconfiguration and clustering with the deep learning model, and uses data recorded by the smart meter, to reconfigure the network in a hybrid data-and-model driving mode. This method proposes a network compression method and a hierarchical decompression method based on deep learning, and improves the efficiency of network reconfiguration by the way of distributed calculation and combination of on-line and off-line calculation. The present disclosure may reduce the solution space, lessen the calculation complexity, and improve the calculation speed to a certain extent.