Abstract:
This application discloses a data transmission method, a sending device, a receiving device, and a communications system. The sending device is configured to send a first transport block. The sending device obtains a coded bit segment from a first encoded code block. The first encoded code block is obtained after LDPC encoding is performed on a first code block in the first transport block based on a processing capability of the receiving device. The sending device sends the coded bit segment to the receiving device. Because the processing capability of the receiving device is considered, storage overheads of the sending device or the receiving device can be reduced, encoding or decoding complexity can be reduced, and a decoding success rate can be improved.
Abstract:
Embodiments disclose a channel decoding method and apparatus, and a distributed decoder. A channel decoding apparatus includes: a decoding information acquiring unit, configured to acquire demodulation information of a channel; a channel decoding algorithm unit, configured to decode the demodulation information to obtain current decoding information, and perform a cyclic redundancy check CRC check on the current decoding information to obtain a current decoding CRC check result; and a lower level decoding determining unit, configured to: if the current decoding CRC check result is incorrect and a lower level channel decoding apparatus exists, determine that the lower level channel decoding apparatus continues to decode the demodulation information, where decoding performance of a channel decoding algorithm unit in the lower level channel decoding apparatus is superior to decoding performance of the channel decoding algorithm unit in the channel decoding apparatus.
Abstract:
This application discloses an audio stream switching method and apparatus. After a switching device receives a switching instruction, the switching device determines a synchronization relationship between a switch-in stream and a switch-out stream, determines a parameter value of a switching point of the switch-in stream based on the synchronization relationship and a timestamp of a packet in the switch-in stream, and determines a timestamp of a switching point of the switch-out stream based on the synchronization relationship and a timestamp of a packet in the switch-out stream, and/or the switching device switches a packet that is in the switch-out stream and whose parameter value is greater than the parameter value of the switching point of the switch-out stream to a packet that is in the switch-in stream and whose parameter value is greater than the parameter value of the switching point of the switch-in stream.
Abstract:
A video quality assessment method and device are provided. The video quality assessment method includes: obtaining a to-be-assessed video, where the to-be-assessed video includes a forward error correction (FEC) redundancy data packet; when a quantity of lost data packets of a first source block in the to-be-assessed video is less than or equal to a quantity of FEC redundancy data packets of the first source block, generating a first summary packet for a non-lost data packet of the first source block, and generating a second summary packet for a lost data packet of the first source block; and calculating a mean opinion score of video (MOSV) of the to-be-assessed video based on the first summary packet and the second summary packet. The MOSV calculated according to the method is more consistent with real video experience of a user, so accuracy of video quality assessment can be improved.
Abstract:
The present invention provides a method and an apparatus for determining video quality, and a method and an apparatus for locating a network fault. The method for determining video quality includes: obtaining a network key performance indicator KPI parameter on a first network device of a plurality of network devices, where the network KPI parameter includes a first round trip time RTT between a head-end device and the first network device; determining a Transmission Control Protocol TCP throughput of the first network device based on the network KPI parameter on the first network device; and determining video quality on the first network device based on the TCP throughput and a played video amount of the first network device. The present invention can accurately determine quality of a video transmitted by using the TCP protocol and accurately locate the network fault.
Abstract:
A method for assessing quality of a VR video, including: obtaining a bit rate, a frame rate, resolution, and TI of a VR video, and determining a mean opinion score (MOS) of the VR video based on the bit rate, the frame rate, the resolution, and the TI of the VR video. The MOS of the VR video is used to represent quality of the VR video. Further, an assessment apparatus is provided. In the embodiments, accuracy of an assessment result of a VR video can be improved.
Abstract:
The present invention discloses a method, an apparatus, and a system for implementing video quality assessment. When video quality is assessed, a proportion of a damaged data caused by packet loss in a video frame in which the damaged data is located is considered, and other factors are also considered, such as a position of the damaged data in the video frame and impact of a scene in which the video frame is located on the video frame or a video frame located after the video frame. Therefore, accuracy of quality assessment is higher.
Abstract:
A video service quality assessment method and apparatus are provided to resolve a prior-art problem of relatively low accuracy of an assessment result. A monitoring device obtains an identifier of a to-be-monitored channel, an identifier of to-be-monitored user equipment, and configuration information of a video service transmission system; obtains a multicast video stream of the to-be-monitored channel based on the identifier of the to-be-monitored channel; obtains a retransmitted video stream based on the identifier of the to-be-monitored channel, the identifier of the to-be-monitored user equipment, and the configuration information of the video service transmission system; determines a to-be-assessed video stream based on the multicast video stream and the retransmitted video stream; and parses the to-be-assessed video stream, and obtains an assessment result based on a parsing result and the configuration information of the video service transmission system.
Abstract:
A task scheduling method and system, and a hardware task scheduler are disclosed, and pertain to the field of computer technologies. The hardware task scheduler provides task scheduling for a central processing unit CPU core to select a candidate task. After selecting the candidate task, the CPU core actively sends metadata of the candidate task to a first storage area, and actively sends a context of the candidate task to a cache, where the first storage area is located in storage space whose access speed is higher than that of a memory. When performing task switching, the CPU core reads the metadata of the candidate task from the first storage area, and reads the context of the candidate task from the cache. In this way, latency of obtaining the metadata and the context of the candidate task by the CPU core is reduced, and low-latency task switching is implemented.
Abstract:
A method for estimating a block error rate and a communication device are applied to the field of communications technologies. The method for estimating a block error rate includes: decoding N received coded code blocks to obtain multiple posterior probabilities APPs, where N is a natural number greater than 1; obtaining, according to the multiple posterior probabilities APPs and a preset policy, a result indicating that the decoding of each coded code block is correct or incorrect, where the preset policy includes: when a sum of absolute values of the multiple APPs is greater than or equal to a preset threshold, the decoding is correct; and obtaining a decoding block error rate according to a result indicating whether the decoding of the N coded code blocks is correct. In this way, the estimation of a decoding block error rate is implemented.