Sample clock offset compensation in the fifth-generation new radio downlink

In this paper, the authors investigate the issue of sampling clock offset (SCO) in fifth generation new radio systems. Due to the imperfect SCO estimation methods, the correction methods relying on the SCO estimation will not be perfect, so the proposed method directly corrects the effect of SCO without using any kind of estimation methods. Our method can work well in physical downlink shared channel (PDSCH) and use reference signals as recommended by the 3rd generation partnership project (3GPP) standards. Through system-level simulations, the obtained results show that the throughput of the system is improved where the gain difference between the proposed method and the case without SCO compensation arises to reach 25 % over tapped-line (TDL) channel

Local video-positioning system for industrial GPR

This article presents a local positioning system working with the industrial GPR OKO-2 (LOGIS) in the process of radio measurements. Here we discuss principles of the positioning system and the method of transferring location data into the GPR system as satellite data. The location uses a video recording of special tapes, which limit the scanning area. Tapes contain the special periodic pattern. A pair of video cameras are placed directly on the GPR body, cameras will register images of the limiting tapes. Results of experimental approbation of the GPR complex confirm the applicability of the system

Modified intra prediction unit size selection algorithm for H.265/ HEVC compression systems

With the increased computational complexity of H.265/HEVC video compression fast decision on prediction unit size is essential for real-time coding applications. In this paper we provide an overview of existing intra prediction unit size decision algorithms and present our modification of one of the selection algorithms with improved compression performance

Fast rate estimation for RDO mode decision in HEVC

The latter-day H.265/HEVC video compression standard is able to provide two-times higher compression efficiency compared to the current industrial standard, H.264/AVC. However, coding complexity also increased. The main bottleneck of the compression process is the rate-distortion optimization (RDO) stage, as it involves numerous sequential syntax-based binary arithmetic coding (SBAC) loops. In this paper, we present an entropy-based RDO estimation technique for H.265/HEVC compression, instead of the common approach based on the SBAC. Our RDO implementation reduces RDO complexity, providing an average bit rate overhead of 1.54%. At the same time, elimination of the SBAC from the RDO estimation reduces block interdependencies, thus providing an opportunity for the development of the compression system with parallel processing of multiple blocks of a video frame

Modified intra prediction unit size selection algorithm for H.265/ HEVC compression systems

With the increased computational complexity of H.265/HEVC video compression fast decision on prediction unit size is essential for real-time coding applications. In this paper we provide an overview of existing intra prediction unit size decision algorithms and present our modification of one of the selection algorithms with improved compression performance