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On the estimation of user mobility pattern for location tracking in wireless networks

On the estimation of user mobility pattern for location trac...

引用

IEEE Conference and Exhibition on Global Telecommunications (GLOBECOM)

作者： Wenye Wang I.F.A. Yildiz Department of Electrical and Computer Engineering North Carolina Agriculture and Technical State University Raleigh NC USA Georgia Institute of Technology School of Electrical and Computer Engineering Atlanta GA USA

This paper presents a new scheme to estimate the user mobility by incorporating the aggregate history of mobile users and system parameters. With this approach, each user's position within the location area is differentiated by zone partition for more accurate prediction. In order to provide the flexibility of tradeoff between quality demand and computation complexity, the estimation is adjusted dynamically according to the constraint of prediction order. Then an adaptive algorithm is developed to predict the future position of mobile terminals in terms of location probabilities, while considering each terminal's movement direction, residence time, and path information. Simulation results demonstrate that the signaling cost for location tracking under delay bound is greatly reduced based on the estimated user mobility pattern.

关键词： Intelligent networks Wireless networks Mobile computing Costs Delay estimation Quality of service Aggregates History adaptive algorithm Computational modeling

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Convergence analysis of an adaptive filtering structure using a new adaptation scheme

Convergence analysis of an adaptive filtering structure usin...

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IEEE Conference and Exhibition on Global Telecommunications (GLOBECOM)

作者： E.V. Papoulis T. Stathaki CSP Group Department of Electrical and Electronic Engineering Imperial College London London UK

The convergence analysis of a maximally decimated (MD) adaptive filtering structure (AFS) employing a new adaptation scheme is presented. The structure was based on uniform perfect reconstruction (PR) filter banks (FB), their dual transmultiplexers (TMUX) and a model for the system under identification of interpolated FIR (IFIR) filters connected in parallel. A new algorithm was used for the adaptation of the subband filter coefficients employing a new power normalisation (PN) scheme introduced in Papoulis et al. (2002). This structure is briefly described here, the adaptive algorithm is presented and an extensive convergence analysis is then given. Reference then is made to the relevant work reported in Petraglia et al. (2000), namely to a structure that can be considered as the dual of the one presented here and employed an adaptive algorithm that is a simplified version of the one we proposed. The convergence analysis is then specialised for the adaptive scheme used in Petraglia. The rest of the paper is an extensive performance comparison of both structures and of the two adaptation schemes, through both theoretical and experimental results. These demonstrate the improvement in the performance our approach offers; highlight aspects of the theoretical analysis and further enlighten on the similarities and differences of the two approaches. A performance comparison with the full-band NLMS algorithm is given.

关键词： Convergence adaptive filters Signal analysis adaptive algorithm algorithm design and analysis Performance analysis Filter bank Finite impulse response filter Computational complexity Educational institutions

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Australian currency note identifier for the vision impaired: Part II software description

Australian currency note identifier for the vision impaired:...

引用

Australian and New Zealand Conference on Intelligent Information Systems

作者： I. Siewert I. Murray T. Dias School of Electrical and Computer Engineering Curtin University of Technology Bentley WA Australia

For pt.I see ibid., p.135-40 (2001). The article describes the software component of a prototype currency identifier. Identification is performed by imaging and recognising the contents of the clear window found near the lower corner of each note (I. Siewart, 1998), which is unique for each denomination. This development is of significance in Australia to people who suffer a large degree of vision impairment, and possibly also to the vision impaired population of the European Union, which may also plan to adopt polymer note technology.

关键词： Australia Image recognition Optical imaging Skeleton Noise reduction Software prototyping Optical character recognition software Pixel adaptive algorithm Design engineering

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Direct data domain STAP algorithm for airborne radar applications

Direct data domain STAP algorithm for airborne radar applica...

引用

IEEE International Conference on Radar

作者： Dong Ruijun Bao Zheng Key Laboratory for Radar Signal Processing Xidian University Xi'an China

ISBN: (纸本)0780370007

STAP has been widely studied for airborne radar as an approach to adaptively detect small target competing with ground clutter. Non-homogeneous interference is currently an important aspect of STAP. The discrete non-homogenates due to strong interference or target separating from the clutter ridge accounts for much of the degradation in urban and spiky clutter scenarios. The use of adaptive weights with the hybrid algorithm is widely applicable to discrete non-homogeneity problems, which is a hybridization of a two-dimensional non-statistical method with statistically based methods. This paper presents a new direct data domain processor with a prefilter attenuating clutter to strengthen suppression for discrete non-homogeneous interference. The desirable performance of STAP to discrete non-homogeneous interference is observed.

关键词： Airborne radar Clutter Interference suppression Sensor arrays Covariance matrix Signal processing algorithms Radar detection adaptive algorithm Counting circuits Radar signal processing

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A Modified FBLMS algorithm Research and Performance Analysis

A Modified FBLMS Algorithm Research and Performance Analysis

引用

International Conference on Information Science and Engineering (ICISE)

作者： Hua Qi Tian-Yi Guo Bao-wan Lian Jun Liu School of Electronics and Information Northwestern Polytechnical University Xi'an Shaanxi China Department of communication engineering Engineering College of Armed Police Force Xi'an Shaanxi China

As there is a conflict about block step size between the requirements of the convergence velocity and parameters' maladjustment within FBLMS algorithm, a modified FBLMS algorithm is well presented in this paper which uses a variable block step size to solve the contradiction between convergence rate and precision. The modified FBLMS algorithm is simulated in the MATLAB platform. The simulation results prove that this algorithm not only has a faster convergence speed, a faster tracking speed and a smaller stationary error, but also has a better anti-jamming capability.

关键词： Performance analysis Equations Eigenvalues and eigenfunctions Convergence adaptive filters Time domain analysis Least squares approximation Information science Educational institutions adaptive algorithm

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Tracking performance of a combination of two NLMS adaptive filters

Tracking performance of a combination of two NLMS adaptive f...

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IEEE/SP Workshop on Statistical Signal Processing (SSP)

作者： Tonu Trump Department of Radio and Telecommunication Engineering Tallinn University of Technology Estonia

This paper studies an affine combination of two NLMS adaptive filters, which is an interesting way of improving the performance of adaptive algorithms. The structure consists of two adaptive filters that adapt on the same input signal, one with a large and the other one with a small step size. Such a combination is capable of achieving fast initial convergence and small steady state error at the same time. In this paper we investigate the tracking performance of the affine combiner algorithm.

关键词： adaptive filters Convergence Steady-state Least squares approximation adaptive algorithm Noise measurement algorithm design and analysis Signal processing Size measurement Gaussian noise

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Distributed winner determination protocol for reverse auction-based task allocation in pervasive computing

Distributed winner determination protocol for reverse auctio...

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IEEE Annual Conference on Pervasive Computing and Communications Workshops (PerCom)

作者： Neda Edalat Wendong Xiao Chen-Khong Tham Ehsan Keikha National University of Singapore Singapore Institute for Infocomm Research Singapore SG Institute for Infocomm Research Singapore

Reverse Auction is one of the best-known market-based mechanisms for allocation of delay-constrained tasks to distributed sensor nodes in wireless sensor network as a typical application in pervasive computing. However, costly message exchanges with enormous overheads among resource-constrained sensor nodes for decision making are required. In this paper, a novel energy/delay-efficient distributed message exchange protocol for winner determination in reverse auction-based task allocation is proposed. The main objective of this protocol is the reduction in the overhead, delay and energy consumption in message exchanges for determining the winning bidder. Simulation results show that the proposed protocol can achieve superior performance compared with static and online adaptive scheduling schemes with centralized message exchanges.

关键词： Pervasive computing Delay Wireless sensor networks Decision making Energy consumption Resource management Wireless application protocol adaptive scheduling Costs adaptive algorithm

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Speech Enhancement in Functional MRI Environment using adaptive Sub-Band algorithms

Speech Enhancement in Functional MRI Environment using Adapt...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Venkat R. Ramachandran Govind Kannan Ali A. Milani Issa M. S. Panahi Department of Electrical Engineering University of Texas Dallas Richardson USA

Very high level of acoustic noise in fMRI scanner rooms disrupts speech communication between the subject and the physician/researcher. Enhancing speech in such an environment is challenging due to the broadband and dynamic nature of the noise. Sub-band adaptive methods prove to be very effective in cancelling such noise. In this paper we present the results of using sub-band adaptive methods for enhancing speech corrupted by noise from a 3-Tesla fMRI scanner. We also observe that the performance depends on the synthesis filter bank structure.

关键词： Speech enhancement Magnetic resonance imaging Acoustic noise Noise cancellation adaptive filters Working environment noise Speech synthesis Least squares approximation Magnetic noise adaptive algorithm

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Learning and structural design of feedforward neural networks by employing genetic algorithms

Learning and structural design of feedforward neural network...

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SICE Annual Conference

作者： A.R. Bohari N. Mizuno Department of Mechanical Engineering Nagoya Institute of Technology Nagoya Japan

This work is an attempt to face learning and structural design problems simultaneously for feedforward neural networks by employing genetic algorithms and hybrid algorithm. In the learning process, the disadvantages of backpropagation as a learning algorithm can be avoided by using hybrid algorithm. On the other hand the ability of genetic algorithms to perform global search intelligently make this method as a robust learning algorithm, while in the same time design the structure. The proposed algorithm shows good performances where all of the trials of learning processes converge to the desired condition and most of structural design end with desired efficient structure.

关键词： algorithm design and analysis Neural networks Feedforward neural networks Genetic algorithms Convergence Backpropagation algorithms adaptive algorithm Robustness Space exploration Mechanical engineering

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Damping estimation and control of a contactless brake system using an eddy current

Damping estimation and control of a contactless brake system...

引用

International Conference on Control and Automation (ICCA)

作者： K.K. Tan S.N. Huang C.S. Teo R. Yang National University of Singapore Singapore SG

In this paper, we propose an identification and control method for a control stage with eddy current. The proposed method is that we first obtain the system parameters using an adaptive algorithm and then we design a model-based controller to achieve good performance. The detailed theoretical analysis is given. The experimental results show that the proposed method can guarantee the parameter convergence and improve the control performance.

关键词： Damping Control systems Eddy currents Magnetic fields Automatic control Conductors Parameter estimation Coils adaptive algorithm Convergence

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