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Due to the higher requirements associated with Ultra High Definition (UHD) resolutions in terms of memory and transmission bandwidth, the feasibility of UHD video communication applications is strongly dependent on the performance of video compression solutions. Even though the High Efficiency Video Coding (HEVC) standard allows significantly superior rate-distortion performances compared to previous...
The paper proposes a new hybrid error concealment for the multi-view video (MVV). Firstly, the lost macroblocks (MBs) are classified into the static MBs and the motive MBs by the motion information. Then the static MBs are repaired by image inpainting, which is improved to apply to inter and inter-view frame. The motive MBs are fixed by outer boundary matching algorithm (OBMA), in which candidate...
Mobile user equipment relay (UER) has been introduced by 3GPP to enhance communication reliability through device-to-device (D2D) communications. However, as UER needs to use its own power to forward other user's data, D2D communication may be unreasonable to the UER. To overcome this issue, motivated by the recent progress in energy harvesting (EH) techniques, we propose a D2D communication provided...
Due to a wider range of services in future heterogeneous cellular network (HCN), packet transmission delay becomes a more essential performance metric for system design. In this paper, we propose an analytical framework to derive the delay performance of HCN in terms of local delay, by modeling the locations of base stations (BSs) in HCN as superimposed of independent Poisson point processes. In the...
Existing methods for smart data reduction are typically sensitive to outlier data that do not follow postulated data models. We propose robust censoring as a joint approach unifying the concepts of robust learning and data censoring. We focus on linear inverse problems and formulate robust censoring through a sparse sensing operator, which is a non-convex bilinear problem. We propose two solvers,...
We propose a probabilistic handshake mechanism for all-to-all broadcast coded slotted ALOHA. We consider a fully connected network where each user acts as both transmitter and receiver in a half-duplex mode. Users attempt to exchange messages with each other and to establish one-to-one handshakes, in the sense that each user decides whether its packet was successfully received by the other users:...
Particle methods are an established way to represent messages and perform message passing in factor graphs. Despite their common use, there are several cases for which messages are hard to compute, even in linear models. Building on results from Gaussian message passing, we demonstrate how backward particle-based messages can be computed and describe a practical application in the context of fiber-optical...
In this paper, we propose an algorithm to compute time-dependent Fourier transform (TDFT) with generalized triangular window. The algorithm recursively computes the TDFT at arbitrary frequency with integrated triangular windowing. A common way to compute TDFT with window is to firstly multiply the input data by the window function and then carry out the TDFT on the windowed data. In this paper, we...
In two-tier heterogeneous cellular networks (HCN) where small cells are deployed overlaid with macro cells, base station (BS) association is one of the fundamental problems, which becomes even more challenging when the small cell BSs are connected to the gateways via imperfect backhaul links, e.g. using wireless technologies. In this paper, we first analyze the mean packet delay in radio access and...
Interference alignment (IA) is a transmission strategy that use channel state information (CSI) to improve the capacity of multiuser communication systems. However, the performance of IA is always limited by the accuracy of the CSI. In particular, this is a problem in time-varying channels, as the CSI at transmitter (CSIT) may become outdated when the channel is changing quickly. In this study, we...
This paper solves the time and power allocation problem for the simplest feedback scheme for the Gaussian wiretap channel, which is based on the transmission of random secret keys to be used in a one time pad manner. Specifically, the optimal transmission powers at Alice and Bob, as well as the time sharing factor between the feedback and feedforward channels, are given by the solution of a non-convex...
The optimal jammer placement problem is proposed for a wireless localization network, where the aim is to degrade the accuracy of locating target nodes as much as possible. In particular, the optimal location of a jammer node is obtained in order to maximize the minimum of the Cramér-Rao lower bounds for a number of target nodes under location related constraints for the jammer node. Theoretical results...
In this paper, we study the possibility of data contents peer-to-peer trading. Motivated by recent findings on proactive resource allocation, we focus on the scenario whereby end-users harness their predictable demands and the possibility of being connected together to pre-cache data contents and resell them in order to minimize their expected payments. The carrier, on the other hand, maximizes its...
In this paper we study cache-enabled small cell networks (SCNs) with local regularly requested content sampling to take into account local user interests for the cache decisions. We consider Zipf-like local content popularity with variables indicating the correlation level of user interests in the same region. Based on stochastic spatial models for the small cell base station (SCBS) and user distribution,...
In this paper, we study amplify-and-forward (AF) schemes to for multigroup multicast information delivery between long-distance users. The target scenario is a two-hop distributed one-way relay network where the transmitters, relays and receivers are all equipped with a single antenna. Assuming that channel state information (CSI) is perfectly known, our goal here is to design the AF weights at the...
High sampling rate Analog-to-Digital Converters (ADCs) can be obtained by time-interleaving low rate (and thus low cost) ADCs into so-called Time-Interleaved ADCs (TI-ADCs). Nevertheless increasing the sampling frequency involves an increasing sensibility of the system to desynchronization between the different ADCs that leads to time-skew errors, impacting the system with non linear distortions....
In this paper we propose a distributed and adaptive algorithm for collaborative processing of the complex signals. The proposed algorithm, which will be referred to as the incremental augmented affine projection algorithm (IncAAPA), not only utilizes the full second order statistical information in complex domain but also exploits the spatial diversity which is provided by the distribution of the...
This paper proposes a design method for an expert adaptive controller that stores operating data from experts in a database and designs a local proposal-integral-derivative (PID) controller at each step by referencing applicable data from this database. In recent years, the retirements of senior experts have created a serious social problem owing to the loss of their expertise. A skill-based PID controller...
This paper presents an efficient patch-based image denoising scheme by using singular value decomposition (SVD). In this scheme, similar image patches are simply grouped together from a noisy image. For a better sparse representation of these similar patches, we firstly utilize the 2D SVD to reveal the essential features of each individual patch and then the 1D SVD to exploit the correlation between...
Leaf is one of the most important organs of plant and often used as one of the basic characters in plant classification. The developmental condition of leaf can provide us with lots of critical information, such as the plant's health condition, the prospection of crop yield and so on. Leaf image processing by computer has been widely used for the extraction and dissection of leaf images in relevant...
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