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检索条件"任意字段=Conference on Signal and Data Processing of Small Targets"

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Performance analysis of macro-assisted data-only carrier system in 5G energy-efficient heterogeneous networks

Performance analysis of macro-assisted data-only carrier sys...

引用

IEEE Online conference on Green Communications (GreenCom)

作者： Chang Liu Jiaxin Zhang Jian Feng Xuefen Hong Xing Zhang Wenbo Wang Wireless Signal Processing University of Posts and Telecommunications Beijing P.R. China

ISBN: (纸本)9781479973859

As the rapid development of wireless communication technologies and the widespread popularity of smart terminals, traffic and demands of the mobile network grow exponentially, moreover the deployment of small cells in current heterogeneous networks becomes denser and denser. These bring lots of signaling overhead and too much energy consumption, in addition these challenge the robustness of mobile performance. In order to cope with these problems, we have already proposed a macro-assisted data-only Carrier (DoC) system for small cell enhancement in [1]. In this article, we focus on the performance analysis of DoC system, especially for signaling overheads, mobility enhancement and small cell on/off schemes. Meanwhile, performance evaluation is intended to prove the benefits of the data-only Carrier architecture by a complete system and link level simulation platform according to current 3GPP LTE standard.

关键词： Handover Decision making Switches Energy consumption Wireless communication Computer architecture

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Intercell Interference Coordination under data Rate Requirement Constraint in LTE-Advanced Heterogeneous Networks

Intercell Interference Coordination under Data Rate Requirem...

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IEEE conference on Vehicular Technology (VTC)

作者： Zhi Liu Yusheng Ji National Institute of Informatics The Graduate University for Advanced Studies Tokyo Japan

ISBN: (纸本)9781479944811

Heterogeneous networks (HetNets) are intended to offer wide area coverage and high data rate transmission by deploying small cells besides macrocells. One way to improve the system throughput is intercell interference coordination. The coordination methods in literature use the system throughput as the only selection criteria without considering each user's data rate requirement and investigate the intercell interference only during the period when small cell's edge users are served. In this paper, we propose an algorithm to maximize the users' data rate satisfaction ratio in HetNet leveraging on the two existing intercell interference coordination schemes ABS and CoMP. Intensive simulations are conducted and the results demonstrate that our proposed scheme achieves considerable gains over competing schemes in terms of the data rate satisfaction ratio and the system capacity in Config.4b scenarios defined by 3GPP.

关键词： Interference Throughput Macrocell networks Array signal processing Long Term Evolution data models conferences

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Post-processing accuracy enhancement of the improved Wheeler cap for wideband antenna efficiency measurements

Post-processing accuracy enhancement of the improved Wheeler...

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European conference on Antennas and Propagation, EuCAP

作者： Constantine G. Kakoyiannis School of Electrical & Computer Engineering National Technical University of Athens Greece

Accurate efficiency characterization by way of the Wheeler cap, especially in a wide band, relies heavily on the post-processing method (PPM) used to extract efficiency values from raw measured data. One of the best established PPMs is the Improved Wheeler Cap (IWC), which treats the antenna-under-test (AUT) as a two-port network and requires circle-fitting of measured data. Its accuracy is affected by the way the data are positioned on the Smith chart. This paper revisits the IWC and enhances its accuracy, while maintaining a wideband measurement capacity. The modified IWC is demonstrated by broadband measurements on a small antenna, and the results are compared against the current state of IWC and three other Wheeler-cap- related PPMs: McKinzie's rotation, the complementary Q-factor method and the equivalent-circuit Wheeler cap.

关键词： Antenna measurements Broadband antennas Cavity resonators Europe Frequency measurement signal to noise ratio

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Optimal Multiuser Spread-Spectrum data Embedding in Video Streams

Optimal Multiuser Spread-Spectrum Data Embedding in Video St...

引用

IEEE Global Communications conference

作者： Lili Wei Rose Qingyang Hu Dimitris A. Pados Geng Wu Mobile & Commun. Group Intel Corp. Santa Clara CA USA

ISBN: (纸本)9781479935130

In this paper, we intend to hide multiuser data in a given host video stream with imperceptible spread-spectrum embedding. First, host video frames are picked in the original given video stream according to a frame selection pattern. We partition each host video frame into many small blocks. Based on a two-dimensional transformation of each small block and zigzag scanning, we construct the host video vectors. The embedded message for each user will be spread out with a signature and added to the host vectors. We present the orthonormal signature set of embedding carriers that achieves maximum sum signal-to-interference-plus-noise ratio (sum-SINR) at the linear filter output for any fixed embedding amplitudes. Then, for any given total embedding distortion constraint, we give the optimal multi-signature assignment and amplitude allocation pair that maximizes the sum capacity of the concealment procedure. Numerical results demonstrate the effectiveness of the proposed optimal data embedding methods in video streams.

关键词： embedded systems signal processing video streaming embedded message embedding carriers fixed embedding amplitudes frame selection pattern host video frames host video vectors linear filter multisignature assignment optimal multiuser spread spectrum data orthonormal signature set spread spectrum embedding sum signal-to-interference-plus-noise ratio sum-SINR video streams zigzag scanning Correlation Information systems Interference Security signal to noise ratio Streaming media Vectors Covert communications code-division multiplexing data concealment data embedding multiuser communications sum capacity video sequences

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Detection of unusual trajectories using multi-objective evolutionary algorithms and rough sets

Detection of unusual trajectories using multi-objective evol...

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25th SPIE conference on signal and data processing of small targets

作者： Smolinski, Tomasz G. Newell, Trevor McDaniel, Samantha Pokrajac, David Delaware State Univ Dept Comp & Informat Sci Dover DE 19901 USA

ISBN: (纸本)9780819497079

Detection of unusual trajectories of moving objects (e.g., people, automobiles, etc.) is an important problem in many civilian and military surveillance applications. In this work, we propose a multi-objective evolutionary algorithms and rough sets-based approach that breaks down 2-dimensional trajectories into a set of additive components, which then can be used to build a classifier capable of recognizing typical, but yet unseen trajectories, and identifying those that seem suspicious.

关键词： Detection of Unusual Trajectories data Mining Evolutionary Algorithms Rough Sets

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3D-to-2D mapping for user interactive segmentation of human leg muscles from MRI data

3D-to-2D mapping for user interactive segmentation of human ...

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IEEE Global conference on signal and Information processing (GlobalSIP)

作者： Nilanjan Ray Satarupa Mukherjee Krishna Kanth Nakka Scott T. Acton Silvia S. Blanker Computing Science University of Alberta Canada Dept. of Biomedical Engineering University of Virginia USA University of Virginia Charlottesville VA US

The automated computation of muscle volume from MRI of human legs is an open problem in the biomedical imaging community. Such automation has the potential to provide an objective measure of effectiveness of pre- and post-surgery treatments. In this paper, we take a step toward automation by proposing a framework for user interactive segmentation of MRI of human leg muscles. Our framework is built upon the strategy of bootstrapping: after the first few tedious segmentation results are achieved, and once a small database of segmented muscles is built, user interaction is reduced. Further, as the database of segmented muscles grows, the user interaction becomes more efficient. At the heart of this proposed framework is a simple, computationally attractive 3D representation of muscles. By a generalized cylinder model, we represent a 3D human leg muscle by two smooth 2D images, which enables application of 2D image processing and analysis methods in this complex multi-segment 3D problem. The smoothness of a leg muscle is modeled by the smoothness of the 2D images. Interdependence and relative positions of leg muscles are represented by a linear combination (basically, convolutions) of such 2D images. We demonstrate that fitting and editing of these models during user interactive segmentation of MRI data are computationally efficient, because our linear interaction model can be represented in the Fourier domain.

关键词： Muscles Three-dimensional displays Magnetic resonance imaging Image segmentation databases Computational modeling Solid modeling

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VARIABILITY COMPENSATION IN small data: OVERSAMPLED EXTRACTION OF I-VECTORS FOR THE CLASSIFICATION OF DEPRESSED SPEECH

VARIABILITY COMPENSATION IN SMALL DATA: OVERSAMPLED EXTRACTI...

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IEEE International conference on Acoustics, Speech and signal processing

作者： Nicholas Cummins Julien Epps Vidhyasaharan Sethu Jarek Krajewski School of Electrical Engineering and Telecommunications The University of New South Wales Sydney Australia Experimental Industrial Psychology University of Wuppertal Wuppertal Germany

ISBN: (纸本)9781479928941

Variations in the acoustic space due to changes in speaker mental state are potentially overshadowed by variability due to speaker identity and phonetic content. Using the Audio/Visual Emotion Challenge and Workshop 2013 Depression dataset we explore the suitability of i-vectors for reducing these latter sources of variability for distinguishing between low or high levels of speaker depression. In addition we investigate whether supervised variability compensation methods such as Linear Discriminant Analysis (LDA), and Within Class Covariance Normalisation (WCCN), applied in the i-vector domain, could be used to compensate for speaker and phonetic variability. Classification results show that i-vectors formed using an over-sampling methodology outperform a baseline set by KL-means supervectors. However the effect of these two compensation methods does not appear to improve system accuracy. Visualisations afforded by the t-Distributed Stochastic Neighbour Embedding (t-SNE) technique suggest that despite the application of these techniques, speaker variability is still a strong confounding effect.

关键词： Speech Accuracy Acoustics Training Standards Speech recognition Vectors

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Particle Filter Tracking for the Banana Problem

Particle Filter Tracking for the Banana Problem

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25th SPIE conference on signal and data processing of small targets

作者： Romeo, Kevin Willett, Peter Bar-Shalom, Yaakov Univ Connecticut Dept Elect & Comp Engn Storrs CT 06269 USA

ISBN: (纸本)9780819497079

In this paper we present an approach for tracking with a high-bandwidth active sensor in very long range scenarios. We show that in these scenarios the extended Kalman filter is not desirable as it suffers from major consistency problems;and most flavors of particle filter suffer from a loss of diversity among particles after resampling. This leads to sample impoverishment and the divergence of the filter. In the scenarios studied, this loss of diversity can be attributed to the very low process noise. However, a regularized particle filter is shown to avoid this diversity problem while producing consistent results. The regularization is accomplished using a modified version of the Epanechnikov kernel.

关键词： Particles Particle filters Detection and tracking algorithms Filtering (signal processing) Gaussian filters Digital filtering Error analysis Sensors Active sensors Statistical analysis

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Delay-aware cooperative multipoint transmission with backhaul limitation in cloud-RAN

Delay-aware cooperative multipoint transmission with backhau...

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IEEE International conference on Communications Workshops, ICC

作者： Jian Li Mugen Peng Aolin Cheng Yuling Yu Wireless Signal Processing and Network Laboratory Key Laboratory of Universal Wireless Communication Ministry of Education Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781479946396

Driven by the surging mobile data traffic demands, the cloud radio access network (Cloud-RAN) of small cells has attracted intense interest in both academia and industry. In practice, the capacity-limited backhaul may eventually restrict the performance potential of cooperative multipoint transmission in Cloud-RAN. In this paper, we consider the delay-aware cooperative beamforming control for delay-sensitive traffic with limited backhaul data transfer in Cloud-RAN of small cells. Followed by the proposed simple threshold-based MS-centric cooperative clustering scheme, we formulate the delay-aware cooperative beamforming control problem as an infinite horizon average cost Markov decision process (MDP) and introduce the discrete time Bellman equation which embraces both the queue state information (QSI) and channel state information (CSI). To tackle with the emerging slow convergence of value functions and curse of dimensionality, the continuous time Bellman equation is derived and the suboptimal solution is obtained using the linear approximation of value functions. Since the formulated problem is non-convex, we derive the conservative reformulation of it and further transform it into convex problem using semidefinite relaxation (SDR) technique. Finally, an alternating optimization algorithm is proposed to effectively solve the SDR problem. Simulation results validate the performance gain of the proposed delay-aware cooperative beamforming control with limited backhaul consumption.

关键词： Array signal processing Delays Computer architecture Optimization Microprocessors Equations Mathematical model

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PHASE IMAGING VIA SPARSE CODING IN THE COMPLEX DOMAIN BASED ON HIGH-ORDER SVD AND NONLOCAL BM3D TECHNIQUES

PHASE IMAGING VIA SPARSE CODING IN THE COMPLEX DOMAIN BASED ...

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IEEE International conference on Image processing

作者： Vladimir Katkovnik Karen Egiazarian Jose Bioucas-Dias Signal Processing Department Tampere University of Technology Instituto de Telecomunicacoes Instituto Superior Tecnico

ISBN: (纸本)9781479957521

The paper addresses interferometric phase image estimation, that is, the estimation of phase modulo-2π images from sinusoidal 2π-periodic and noisy observations. These degradation mechanisms make interferometric phase image estimation a challenging problem. We tackle this challenge by reformulating the true estimation problem as a sparse regression in the complex domain. Following the standard procedure in patch-based image restoration, the image is partitioned into small overlapping square patches. BM3D algorithm equipped with high order SVD (HOSVD) is used to form complex domain frames suitable to sparse representations of the complex-valued data. HOSVD applied to the groups of BM3D data enables the design of spatially variant and data adaptive orthonormal complex domain transforms. The effectiveness of the new sparse coding based approach to interferometric phase estimation, termed Interferometric PHASE via Block matching and High order SVD (InPHASE-BHS) is illustrated in a series of simulation experiments where it outperforms the state-of-the-art.

关键词： Phase imaging Interferometric phase estimation Phase unwrapping Sparse regression BM3D High order SVD

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