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Parsimonious dictionary learning

Parsimonious dictionary learning

引用

International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Mehrdad Yaghoobi Thomas Blumensath Michael E. Davies Institute of Digital Communications Joint Research Institute of Signal and Image Processing University of Edinburgh UK

Sparse modeling of signals has recently received a lot of attention. Often, a linear under-determined generative model for the signals of interest is proposed and a sparsity constraint imposed on the representation. When the generative model is not given, choosing an appropriate generative model is important, so that the given class of signals has approximate sparse representations. In this paper we introduce a new scheme for dictionary learning and impose an additional constraint to reduce the dictionary size. Small dictionaries are desired for coding applications and more likely to ldquoworkrdquo with suboptimal algorithms such as Basis Pursuit. Another benefit of small dictionaries is their faster implementation, e.g. a reduced number of multiplication/addition in each matrix vector multiplication, which is the bottleneck in sparse approximation algorithms.

关键词： Dictionaries Sparse matrices signal generators signal processing image coding Digital communication image processing Pursuit algorithms Approximation algorithms Costs

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Compressible dictionary learning for fast sparse approximations

Compressible dictionary learning for fast sparse approximati...

引用

IEEE/SP Workshop on Statistical signal processing (SSP)

作者： Mehrdad Yaghoobi Mike E. Davies Institute of Digital Communications Joint Research Institute of Signal and Image Processing University of Edinburgh UK

By solving a linear inverse problem under a sparsity constraint, one can successfully recover the coefficients, if there exists such a sparse approximation for the proposed class of signals. In this framework the dictionary can be adapted to a given set of signals using dictionary learning methods. The learned dictionary often does not have useful structures for a fast implementation, i.e. fast matrix-vector multiplication. This prevents such a dictionary being used for the real applications or large scale problems. The structure can be induced on the dictionary throughout the learning progress. Examples of such structures are shift-invariance and being multi-scale. These dictionaries can be efficiently implemented using a filter bank. In this paper a well-known structure, called compressibility, is adapted to be used in the dictionary learning problem. As a result, the complexity of the implementation of a compressible dictionary can be reduced by wisely choosing a generative model. By some simulations, it has been shown that the learned dictionary provides sparser approximations, while it does not increase the computational complexity of the algorithms, with respect to the pre-designed fast structured dictionaries.

关键词： Dictionaries image coding signal processing Sparse matrices signal processing algorithms Digital communication image processing Inverse problems Learning systems Large-scale systems

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On the performance of trellis coded spatial modulation

On the performance of trellis coded spatial modulation

引用

International ITG Workshop on Smart Antennas, WSA 2009

作者： Mesleh, Raed Stefan, Irina Haas, Harald Grant, Peter M. Research 1 Campus Ring 1 Jacobs University Bremen Bremen28759 Germany Joint Research Institute for Signal and Image Processing Institute for Digital Communications University of Edinburgh EdinburghEH9 3JL United Kingdom

Trellis coded modulation (TCM) is a well known scheme that applies mapping by set partitioning. The key idea is to group the constellation symbols into sets with each set having the maximum free distance between its symbols. In this paper, a similar approach is applied to antenna constellation points of spatial modulation (SM) in order to enhance its performance in correlated channel conditions. In SM, multiple antennas exist at the transmitter side, but only one of them is active at any particular time instant. The incoming data bits determine the active transmit antenna and the signal constellation point transmitted from it. At the receiver side, the active antenna index and the transmitted symbol are estimated and used together to decode the transmitted information bits. The locations of the transmit antennas are considered as spatial constellation points, and TCM is applied to enhance the bit error ratio (BER) performance of bits encoded into the physical location of an antenna within an antenna array. TCM partitions the entire set of transmit antennas into sub-sets such that the spacing between antennas within a particular sub-set is maximized. The performance of TCSM is analyzed in this paper and compared to the performance of SM and coded V-BLAST (vertical Bell Labs layered spacetime) applying optimum sphere decoder algorithm. It is shown that under the same spectral efficiency, TCSM performs nearly the same as SM and V-BLAST in idealistic channel conditions. However, a significant enhancement is reported in the presence of realistic channels performance such as Rician fading and spatial correlation (SC).

关键词： Modulation

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Hidden Markov models for packet-level errors in bursty digital wireless channels

Hidden Markov models for packet-level errors in bursty digit...

引用

Antennas and Propagation Conference, LAPC, Loughborough

作者： Omar S. Salih Cheng-Xiang Wang David I. Laurenson Yejun He Joint Research Institute for Signal and Image Processing Heriot-Watt University Edinburgh UK Joint Research Institute for Signal and Image Processing University of Edinburgh Edinburgh UK College of Information Engineering Shenzhen University Shenzhen China

ISBN: (纸本)9781424427208

Packet-level generative models are designed to be employed for evaluating and designing high layer wireless communications protocols. The significance of these models arises from their ability to replace the entire physical communication layer, hence reducing the time and complexity of wireless system simulations. In this paper, an enhanced general packet radio service (EGPRS) transmission system is utilized to obtain reference bursty packet error sequences. We then propose a new hidden Markov model with two processes to generate packet error sequences of any desired length. The attained burst error statistics demonstrate a satisfactory performance compared to those of reference packet error sequences.

关键词： Hidden Markov models Antennas and propagation

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Information Content Analysis and Clustering for signal Anomaly Detection

Information Content Analysis and Clustering for Signal Anoma...

引用

IEEE Conference on Vehicular Technology (VTC)

作者： Mostafa Afgani Harald Haas Institute of Digital Communications Joint Research Institute of Signal and Image Processing University of Edinburgh Edinburgh UK

An information theoretic approach to detecting unusual events in radio signals is presented. Anomalies are detected through a measure of the events' information content. Clustering is utilised to reduce false-positives while allowing a lower discrimination threshold to be used for improved anomaly detection. Experiments with a real wireless local area network test signal shows that it is possible to achieve 100% detection rates while maintaining very low false discovery rate of 1%.

关键词： Information analysis signal analysis signal detection Wireless LAN Interference Event detection signal processing Cognitive radio Bluetooth Wireless communication

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Star-Node Identification in Self-Organising Wireless Networks

Star-Node Identification in Self-Organising Wireless Network...

引用

IEEE Conference on Vehicular Technology (VTC)

作者： Zubin Bharucha Sinan Sinanovic Harald Haas Institute of Digital Communications Joint Research Institute of Signal and Image Processing University of Edinburgh Edinburgh UK

ISBN: (纸本)9781424425143

Self-configuring, hierarchical, ad hoc, wireless networks are fast becoming the focus of research for spectral efficiency and energy efficiency reasons. Such networks can be considered as graphs where a node represents a transceiving unit and an edge represents a communication link between two nodes. In order to probabilistically analyse connectedness issues in such graphs, the concept of the star-node is introduced here, where a star-node is a node whose path loss to multiple nodes in its vicinity falls below a given threshold, i.e., it is capable of sustaining "healthy" communication links to multiple neighbours. Star-nodes are important in the context of ad hoc and sensor networks since nodes in a self-configuring network must be able to identify their neighbours, i.e., those nodes with which viable communication links can be established. The probability of finding such star-nodes is analytically derived for a uniform user distribution in a circular scenario. The theory is tested against Monte Carlo simulations and a very good match has been found.

关键词： Wireless networks Probability Digital communication signal processing image processing Focusing Energy efficiency Context Testing Boosting

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CODING ASSISTED BLIND MIMO EQUALIZATION AND DECODING

CODING ASSISTED BLIND MIMO EQUALIZATION AND DECODING

引用

European signal processing conference

作者： Xu Zhao Mike Davies Institute for Digital Communications Joint Research Institute for Signal & Image Processing School of Engineering & Electronics the University of Edinburgh

ISBN: (纸本)9781617388767

Despite the widespread use of forward-error coding (FEC), most MIMO blind channel estimation techniques ignore its presence, and instead make the simplifying assumption that the transmitted symbols are uncoded. However, FEC induces code structure in the transmitted sequence that can be exploited to improve blind multiple input multiple output (MIMO) channel estimates. In this work we exploit the iterative channel estimation and decoding performance for blind MIMO equalization. Experiments show the attractive improvements by exploiting the existence of coding structures.

关键词： DECODING multiple input multiple output systems channel estimation

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Nash Bargaining over MIMO Interference Systems

Nash Bargaining over MIMO Interference Systems

引用

IEEE International Conference on Communications (ICC)

作者： Z. Chen S. A. Vorobyov C.-X. Wang J. Thompson Joint Research Institute for Signal and Image Processing Heriot-Watt University Edinburgh UK Department of Electrical and Computer Engineering University of Alberta Edmonton AB Canada Joint Research Institute for Signal and Image Processing University of Edinburgh Edinburgh UK

In this paper, the source covariance matrices of multiple-input multiple-output (MIMO) interference channels (IFCs) are investigated from a game-theoretic perspective. It is proved that the requirement of sufficiently small interference-to- noise ratio (INR) is the sufficient condition for the uniqueness of the Nash bargaining (NB) solution. The structure of the source covariance matrices, which constitute the feasible set of NB solution, is analyzed by comparing them with the covariance matrices leading to the Nash equilibrium (NE). The existence of the NB solution and concavity of the rate product for MIMO IFCs are also studied.

关键词： MIMO Covariance matrix Niobium Radio transmitters Interference channels Nash equilibrium AWGN signal processing image processing Sufficient conditions

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Modelling for vehicle to vehicle applications

Modelling for vehicle to vehicle applications

引用

Antennas and Propagation Conference, LAPC, Loughborough

作者： David I. Laurenson Michail Matthaiou Xiang Cheng Cheng-Xiang Wang Joint Research Institute for Signal & Image Processing Institute for Digital Communications University of Edinburgh Edinburgh UK Institute for Circuit Theory and Signal Processing Technische Universität München Munich Germany Joint Research Institute for Signal & Image Processing School of Engineering & Physical Sciences Heriot-Watt University Edinburgh UK

ISBN: (纸本)9781424427208

Rapid growth of personal communications has led to the development of many wireless systems, competing for radio bandwidth. In the vehicular environment, there is recognition of the importance of communications, and therefore the ability to model these channels is important. This paper addresses this issue through the exploration of both vehicle to roadside (VTR) and vehicle to vehicle (VTV) communications. The paper presents a design methodology for achieving the maximum capacity under the above mentioned propagation conditions as well as reference and stochastic simulation models for vehicular environments.

关键词： Road vehicles Mobile communication Stochastic processes Remotely operated vehicles Video recording Vehicle safety Rayleigh scattering MIMO signal processing image processing

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Second Order Statistics of Non-Isotropic Mobile-to-Mobile Ricean Fading Channels

Second Order Statistics of Non-Isotropic Mobile-to-Mobile Ri...

引用

IEEE International Conference on Communications (ICC)

作者： X. Cheng C.-X. Wang D. I. Laurenson A. V. Vasilakos Joint Research Institute for Signal and Image Processing Heriot-Watt University Edinburgh UK Joint Research Institute for Signal and Image Processing University of Edinburgh Edinburgh UK Department of Computer and Telecommunications Engineering University of Western Macedonia Koza-gun Greece

This paper develops a generic geometry-based stochastic model for mobile-to-mobile (M2M) Ricean fading channels. From the generic model, the level crossing rate (LCR) and average fade duration (AFD) are derived. Based on the derived expressions, we for the first time investigate the LCR and AFD for M2M channels with different vehicular traffic densities (VTDs). Excellent agreement is achieved between the theoretical results and measured data, demonstrating the utility of the proposed model.

关键词： Statistics Fading MIMO Solid modeling Mobile communication signal processing image processing Stochastic processes Intelligent transportation systems Communications Society

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