We investigate the MIMO broadcast channel in the high SNR regime when linear filtering is applied instead of dirty paper coding. Using a user-wise rate duality where the streams of every single user are not treated as self-interference as in the hitherto existing stream-wise rate dualities for linear filtering, we solve the weighted sum rate maximization problem of the broadcast channel in the ...

It is recognized that block-wise dependence is a key requirement for fragile watermarking schemes to thwart vector quantization attack. It has also been proved that dependence with deterministic or limited context is susceptible to transplantation attack or even simple cover-up attacks. In this work, we point out that traditional nondeterministic block-wise dependence is still vulnerable to cro...

In this report, we deal with two challenges when building a real-world face recognition system the pose variation in uncontrolled environment and the computational expense of processing a video stream. First, we argue that the frame-wise feature mean is unable to characterize the variation among frames. We propose to preserve the overall pose diversity if we want the video feature to represent ...

Major advances in languages, tools and methodologies have improved our ability to develop reactive systems, but the task remains difficult, expensive and error prone. One of the key reasons is the growing complexity of many kinds of reactive systems, which increasingly prevents the human mind from managing a comprehensive picture of all their relevant elements and behaviors. We present a vision...

Abstract. During a research flight of the Wave-driven ISentropic Exchange (WISE) campaign, which was conducted over eastern North Atlantic on 1 October 2017, composition upper troposphere and lower stratosphere (UTLS) across jet stream observed by airborne, range-resolved differential absorption lidar (DIAL) profiles. We investigate how high variability in paired H2O O3 distribution along two-d...

Currently, an increasing number of model pruning methods are proposed to resolve the contradictions between computer powers required by deep learning models and resource-constrained devices. However, for simple tasks like robotic detection, most traditional rule-based network can not reach a sufficient compression ratio with low accuracy loss time-consuming as well laborious. In this paper, we ...

  The study seeks to address the importance of urban stream ecosystems from the perspective of urban ecology, human health and social well-being in the context of urban planning. The case study area is Paveh stream in the City of Paveh. The data from the case study area were gathered from questionnaire, existing scientific and library studies and by conducting interviews with residents and auth...