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Conservative cascades: an invariant of Internet traffic

Conservative cascades: an invariant of Internet traffic

引用

IEEE international symposium on Signal processing and information Technology (ISSPIT)

作者： S. Uhlig Department of Computer Science and Engineering Université catholique de Louvain Louvain-la-Neuve Belgium

Conservative cascades are among the class of multiscaling processes that accommodate the two competing objectives of deterministic and random cascades. This paper discusses in what sense the cascade model can be seen as an invariant of the Internet traffic. It explains why conservative cascades model the time-invariant properties of the Internet traffic at timescales up to hundreds of milliseconds. Furthermore, it shows the limitations of the conservative cascades to model part of the time-dependent scaling properties of Internet traffic.

关键词： Internet Traffic control Telecommunication traffic Fractals Computer science Communication system traffic control IP networks Linearity Equations Marine vehicles

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An improved quality of service technique for multimedia applications over the congested network

An improved quality of service technique for multimedia appl...

引用

IEEE international symposium on Signal processing and information Technology (ISSPIT)

作者： A. Sharifinejad University of New South Wales Sydney Australia

This work presents a new real-time congestion recovery scheme for the high-speed network. The developed DAC algorithm is simple to implement, has immediate response to congestion, requires minimal processing delay and most importantly prevents the loss of most critical data during congestion. A superior improvement of up to 90% was observed for reconstructed videos as a result of DAC utilisation during network congestion. DAC algorithm is benefiting from a number of embedded features such as correct buffer partitioning and packing mechanism.

关键词： Quality of service Streaming media Communication system traffic control Delay Bandwidth Smoothing methods High-speed networks Video compression Resource management Shape control

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Neural networks for microwave characterization of material samples in rectangular cavities

Neural networks for microwave characterization of material s...

引用

IEEE international symposium on Signal processing and information Technology (ISSPIT)

作者： A. Penirshke J. Freese M. Schubler R. Jakoby Institut für Hochfrequenztechnik Technische Universität Darmstadt Darmstadt Germany

In order to characterize material samples of different sizes at microwaves, use was made of a rectangular metallic cavity, which is partially filled by these material samples, having arbitrary locations. Subsequently, by using a multi-layer perceptron (MLP) network, its dielectric constant, dielectric losses and its amount could be accurately extracted from measurements of the magnitude of the scattering parameter |S/sub 11/| only, since the phase information was not available. The input for this network is generated by a proper preprocessing of the simulated and measured magnitude of the return loss |S/sub 11/|. The investigations indicate very good agreement of the simulated and measured data, thus, a simulation-based training of neural networks and an subsequent parameter extraction of the material samples from |S/sub 11/|-measurements was possible with high accuracy.

关键词： Neural networks Dielectric loss measurement Dielectric materials Inorganic materials Dielectric constant Dielectric measurements Loss measurement Multilayer perceptrons Dielectric losses Data mining

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Restoration for ultrasonic 3-dimensional image using Boltzmann machines

Restoration for ultrasonic 3-dimensional image using Boltzma...

引用

international symposium on Image and Signal processing and Analysis

作者： M. Yamagiwa M. Yoneyama Department of Information & Computer Science Toyo University Kawagoe Saitama Japan

This work is concerned with the improvement method for the very degraded image obtained by the ultrasonic imaging system. In order to reconstruct 3-dimensional images from very degraded acoustic image, an auto-correlative Boltzmann Machines reformed on the visible layer is used as a post processor. The height information of the 3-dimensional image obtained from the ultrasonic imaging system consists of 12 levels. To input this type of 3-dimensional images into the Boltzmann Machines, the visible layer was reformed. The visible layer was divided into 4 divisions so that each division corresponds to input/output layer for the information of different height of 4 levels. The original 3-dimensional image consists of 16/spl times/16/spl times/12 pixels, but it is deformed to 16/spl times/16/spl times/4 pixels after the post processing by the Boltzmann Machines, because of reduction of network structure. As the result of the experiments, good recall rate of correct reconstruction can be obtained compared with that of Hopfield neural networks.

关键词： Image restoration Ultrasonic imaging Image reconstruction Hopfield neural networks Pixel Optical scattering Optical transmitters Electromagnetic scattering Neural networks Degradation

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Channel estimation for DS/CDMA systems with aperiodic spreading codes and multiple antennas

Channel estimation for DS/CDMA systems with aperiodic spread...

引用

international symposium on Image and Signal processing and Analysis

作者： S. Buzzi B. Ruscito Università degli Studi di Cassino Cassino Italy

The problem of channel estimation for DS/CDMA systems employing aperiodic spreading codes and multiple transmit and receive antennas is considered. Several estimation algorithms are presented, with different degrees of computational complexity and required prior information. In particular, both the situations of centralized channel estimation for all the active users and decentralized channel estimation for only one user of interest are specifically considered.

关键词： Channel estimation Multiaccess communication Receiving antennas Signal processing algorithms Computational complexity Wireless networks Signal processing Delay estimation Transmitting antennas Code standards

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Joint space-frequency optimization in multi user MIMO system

Joint space-frequency optimization in multi user MIMO system

引用

IEEE international symposium on Signal processing and information Technology (ISSPIT)

作者： Xi Zhang B. Ottersten Department of Signals Sensors and Systems Royal Institute of Technology Stockholm Sweden

Herein, joint space-time multiplexing in a multi carrier multiple input multiple output (MIMO) system is considered. Previous results concerning the spatial multiplexing optimization are used to address the joint problem of carrier assignment and choice of beamforming weights in a multi user MIMO system. For practical reasons, the joint optimization is divided into two parts: subcarrier assignment based on beamformer characteristics to adjust the carrier load, followed by beamforming optimization with subcarrier reassignment. The goal is to minimize total downlink transmit power while keeping the fixed user data rates. The proposed multiplexing scheme is evaluated on a number of numerical examples.

关键词： MIMO Array signal processing Downlink Transmitting antennas Interference Receiving antennas Baseband sensor systems Space technology Optimization methods

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A synthesis of an RBF network filter based on statistical independence between signals

A synthesis of an RBF network filter based on statistical in...

引用

IEEE international symposium on Signal processing and information Technology (ISSPIT)

作者： E. Uchino N. Suetake Y. Tujimoto Fuzzy Logic Systems Institute Lizuka Japan Department of Physics Biology and Informatics Yamaguchi University Yoshida Yamaguchi Japan

In this paper we propose a novel nonlinear filter, with a basic framework of the Wiener filter, based on a radial basis function (RBF) network. The proposed filter is synthesized with a least mean square scheme using a statistical independence between a target signal and an observation noise. The validity and effectiveness of the proposed filter are verified by applying it to the actual filtering problem of the noisy images.

关键词： Network synthesis Signal synthesis Radial basis function networks Nonlinear filters Wiener filter Filtering Additive noise Physics Informatics Least squares methods

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Selective multi-user diversity

Selective multi-user diversity

引用

IEEE international symposium on Signal processing and information Technology (ISSPIT)

作者： D. Gesbert M.-S. Alouini Eurecom Institute Sophia-Antipolis France Department of ECE University of Minnesota USA

This paper considers the problem of multi-user wireless scheduling using the so-called multi-user diversity (MUDiv) concept, which requires the instantaneous channel feedback from all users to the base station. We ask ourselves whether this feedback is justified in view of the increased capacity for post scheduling. We revisit the MUDiv concept and propose a technique that allows the dramatic reduction of the feedback (by up to 90%) needs while preserving the essential of the scheme performance. The technique is analyzed both analytically and through simulations.

关键词： Feedback Diversity reception Scheduling Signal to noise ratio Fading MIMO Base stations Analytical models Wireless networks Diversity methods

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Unitary root-MUSIC technique for uniform circular array

Unitary root-MUSIC technique for uniform circular array

引用

IEEE international symposium on Signal processing and information Technology (ISSPIT)

作者： F. Belloni V. Koivunen SMARAD CoE Signal Processing Laboratory Helsinki University of Technology Finland

In this paper, unitary root-MUSIC algorithm for direction of arrival estimation is proposed for uniform circular array. Uniform circular array provides uniform performance in any direction and simultaneous azimuth and elevation angle estimates. The proposed algorithm has low computational complexity because eigenvalue decomposition for real number may be used. It also provides low variance estimates because the number of observations is doubled in comparison to conventional MUSIC algorithm. Also, a robust extension to the method is introduced based on multivariate extensions of nonparametric statistics. It gives highly reliable results in the face of heavy-tailed noise and interference. The additional computational cost is negligible.

关键词： sensor arrays Azimuth Direction of arrival estimation Signal processing algorithms Eigenvalues and eigenfunctions Multiple signal classification Linear antenna arrays Robustness Goniometers Array signal processing

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Support vector machines for seizure detection

Support vector machines for seizure detection

引用

IEEE international symposium on Signal processing and information Technology (ISSPIT)

作者： B. Gonzalez-Vellon S. Sanei J.A. Chambers Centre for Digital Signal Processing Research King''s College UK

The development of a robust technique for automatic detection of the epileptic seizures is an important goal in clinical neurosciences. In this paper, the support vector machines (SVM) have been used for this purpose. The system detects and uses the three features of the electroencephalogram (EEG), namely, energy, decay (damping) of the dominant frequency, and cyclostationarity of the signals. The different types of epileptic seizures have shown some common characteristics in the feature space that can be exploited in distinguishing them from the normal activity in the brain or the nonepileptic abnormalities. The use of SVMs achieves high sensitivity and at the same time shows an improvement in terms of computational speed in comparison with the other traditional systems.

关键词： Support vector machines Electroencephalography Epilepsy Biological neural networks Damping Matching pursuit algorithms Digital signal processing Educational institutions Robustness Patient monitoring

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