Abstract:
Disclosed is a signal combining and distribution network apparatus including multi-array circuits. The signal combining and distribution network apparatus includes multi-array circuits each including a plurality of oscillators, and 2-terminal networks a arranged between the oscillators and including a slow wave structure or a coupled line filter, and 2-terminal networks c arranged between the multi-array circuits and including a slow wave structure or a coupled line filter.
Abstract:
Disclosed is a method and apparatus for phase error compensation having tolerance to a cyclic slip. The method includes determining first phase error candidates based on symbol phases of a first block of a received signal, determining an initial estimation error according to the first phase error candidates, determining second phase error candidates based on symbol phases of a second block of the received signal, determining a final estimation error according to the initial estimation error and the second phase error candidates, and compensating for a phase of the received signal according to the final estimation error.
Abstract:
Disclosed herein are a video decoding method and apparatus and a video encoding method and apparatus. A transformed block is generated by performing a first transformation that uses a prediction block for a target block. A reconstructed block for the target block is generated by performing a second transformation that uses the transformed block. The prediction block may be a block present in a reference image, or a reconstructed block present in a target image. The first transformation and the second transformation may be respectively performed by neural networks. Since each transformation is automatically performed by the corresponding neural network, information required for a transformation may be excluded from a bitstream.
Abstract:
Disclosed herein are a method and apparatus for video decoding and a method and apparatus for video encoding. A prediction block for a target block is generated by predicting the target block using a prediction network, and a reconstructed block for the target block is generated based on the prediction block and a reconstructed residual block. The prediction network includes an intra-prediction network and an inter-prediction network and uses a spatial reference block and/or a temporal reference block when it performs prediction. For learning in the prediction network, a loss function is defined, and learning in the prediction network is performed based on the loss function.
Abstract:
Disclosed herein are an inter-prediction method and apparatus using a reference frame generated based on deep learning. In the inter-prediction method and apparatus, a reference frame is selected, and a virtual reference frame is generated based on the selected reference frame. A reference picture list is configured to include the generated virtual reference frame, and inter prediction for a target block is performed based on the virtual reference frame. The virtual reference frame may be generated based on a deep-learning network architecture, and may be generated based on video interpolation and/or video extrapolation that use the selected reference frame.
Abstract:
An optical repeater performs an electrical-to-optical conversion based on a power level of an optical signal or an optical modulation index (OMI) required by a radio unit or a host unit connected to the optical repeater. Further, the optical repeater performs an optical-to-electrical conversion based on a power level of a radio frequency (RF) signal required by the radio unit or the host unit connected to the optical repeater.
Abstract:
A video encoding apparatus and method is provided. The video encoding apparatus includes a processor configured to encode video data according to a program, and a memory configured to store the program. The program performs intra prediction on a block of the video data, determines whether an optimum prediction method according to the intra prediction is a block non-division method, performs inter prediction according to a block division method corresponding to a prediction mode group in which a prediction mode of the block according to the intra prediction is included when the optimum prediction method is the block non-division method, selects a method in which an error is smallest among the block division methods applied in the inter prediction as an optimum division method, performs encoding according to the optimum division method.
Abstract:
In a wireless optical communication system in which communication is performed based on a free space and a plurality of the communication apparatuses are arranged in a ring form around a central office terminal (COT), the communication apparatus monitors optical signals received in a first direction or in a second direction opposite to the first direction, and selects a first path through which the optical signals in the first direction are received and a second path through which the optical signals in the second direction are received. The communication apparatus converts an optical signal having a predetermined unique wavelength from among the optical signals received through the selected path into a signal of a frequency domain having a plurality of subcarriers, and obtains packet data mapped to each of the subcarriers.
Abstract:
A converged passive optical network (CPON) and a data transmission method are disclosed. The CPON is a combination of a time division multiple access-passive optical network (TDMA-PON) and an orthogonal frequency division multiple access-passive optical network (OFDMA-PON) and is able to dynamically controlling a bandwidth for upstream signal transmission through allocation of multiple subcarriers to each single optical network unit (ONU).
Abstract:
Disclosed are a radio access network (RAN) equipment and communication equipment for performing photonics-based terahertz wireless communication. The RAN equipment includes a radio unit (RU), a distributed unit (DU), and a central unit (CU), wherein the RU and the DU are configured to transmit and/or receive data through photonics-based terahertz wireless communication, and the DU and the CU are configured to transmit and/or receive data through photonics-based terahertz wireless communication.