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检索条件"主题词=distributed signal processing"

共 131 条记录，以下是121-130 订阅

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Energy Conservation using an Optimized Topology with distributed processing of EEG signals

Energy Conservation using an Optimized Topology with Distrib...

引用

Conference on Emerging Devices and Smart Systems (ICEDSS)

作者： Judith, A. Mary Rajamani, V. Anna Univ Vel Tech Multitech Dr Rangarajan Dr Sakunthala En Dept Informat Technol Chennai Tamil Nadu India Anna Univ Vel Tech Multitech Dr Rangarajan Dr Sakunthala En Dept Elect & Commun Engn Chennai Tamil Nadu India

ISBN: (纸本)9781538634790

Investigations in the field of wireless body area network reveals that Electroencephalogram (EEG) is the more concentrated area of research currently. In this regard, this paper works on reducing the power consumed by the electrodes in wireless EEG sensor network. Various existing topological structures such as tree topology, fully connected topology, near end and far end topology are used for electrode arrangements during signal acquisition. But the proposed hexagonally clustered topological structure is found to outperform compared to the other structures for node localization. Also, a comparison is made between the centralized and distributed method of processing on the acquired EEG signals. The proposed work follows distributed processing on the EEG datas where its combination with hexagonal clustering structure for node positioning reports better level of energy conservation compared to other methods as proven in the experimentation.

关键词： Wireless Electroencephalography Sensor Network Energy Conservation distributed signal processing Electroencephalography network topology

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Diffusion least-mean squares over distributed networks in the presence of MAC errors

Diffusion least-mean squares over distributed networks in th...

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Asilomar Conference on signals, Systems & Computers

作者： Saeed Ghazanfari-Rad Fabrice Labeau Department of Electrical and Computer Engineering McGill University Montreal QUE Canada

ISBN: (纸本)9781467350501

This paper presents the formulation and steady-state analysis of the distributed estimation algorithms based on diffusion cooperation scheme, in which all nodes in the network communicate employing a non-ideal channel access mechanism. We formulate and study a two-node network and derive the closed-form expressions of the steady-state mean-square deviation (MSD). We also assess the mean performance and stability condition. The proposed analytical framework enables us to investigate the effects of the medium access control (MAC) layer performance on the behavior of the diffusion least-mean squares (LMS) algorithm in terms of the convergence speed and the steady-state error that is validated by performing Monte Carlo simulations. Simulation and analysis confirm that a high probability of collision at the MAC level, results in lower convergence speed and higher steady-state MSD for distributed estimation algorithm.

关键词： Adaptive networks diffusion LMS algorithm MAC layer distributed estimation distributed signal processing MAC layer Least mean square algorithm adaptive networking network node MAXIMUM ACCEPTABLE CONTAMINATION Media Access Protocol Steady state steady-state error diffusion Musculoskeletal Diseases MSD gene mean square distributed NETWORKS Distribute

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ENERGY-VS-PERFORMANCE TRADE-OFFS IN SPEECH ENHANCEMENT IN WIRELESS ACOUSTIC SENSOR NETWORKS

ENERGY-VS-PERFORMANCE TRADE-OFFS IN SPEECH ENHANCEMENT IN WI...

引用

European signal processing Conference

作者： Fernando de la Hucha Arce Fernando Rosas Marc Moonen Marian Verhelst Alexander Bertrand KU Leuven Dept. of Electrical Engineering (ESAT) STADIUS KU Leuven Dept. of Electrical Engineering (ESAT) MICAS

ISBN: (纸本)9781479988518

distributed algorithms allow wireless acoustic sensor networks (WASNs) to divide the computational load of signal processing tasks, such as speech enhancement, among the sensor nodes. However, current algorithms focus on performance optimality, oblivious to the energy constraints that battery-powered sensor nodes usually face. To extend the lifetime of the network, nodes should be able to dynamically scale down their energy consumption when decreases in performance are tolerated. In this paper we study the relationship between energy and performance in the DANSE algorithm applied to speech enhancement. We propose two strategies that introduce flexibility to adjust the energy consumption and the desired performance. To analyze the impact of these strategies we combine an energy model with simulations. Results show that the energy consumption can be substantially reduced depending on the tolerated decrease in performance. This shows significant potential for extending the network lifetime using dynamic system reconfiguration.

关键词： Dynamic system reconfiguration distributed signal processing Wireless acoustic sensor networks

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Mobile adaptive networks for pursuing multiple targets

Mobile adaptive networks for pursuing multiple targets

引用

IEEE International Conference on Acoustics, Speech and signal processing

作者： M. Z. Lin M. N. Murthi K. Premaratne Dept. of Electr. & Comput. Eng. Univ. of Miami Coral Gables FL USA

ISBN: (纸本)9781467369985

We examine the design of self-organizing mobile adaptive networks with multiple targets in which the network nodes form distinct clusters to learn about and purse multiple targets, all while moving in a cohesive collision-free manner. We build upon previous distributed diffusion-based adaptive learning networks that focused on a single target to examine the case with multiple targets in which the nodes do not know the number of targets, and exchange local information with their neighbors in their learning objectives. In particular, we design a method allowing the nodes to switch the target they are tracking thereby engendering the formation of distinct stable learning groups that can split up and purse their distinct targets over time. We provide analytical mean stability and steady state mean-square deviation results along with simulations that demonstrate the efficacy of the proposed method.

关键词： adaptive networks diffusion adaptation distributed signal processing mobility self-organization Targets self-organization adaptive networking Ganglia Educational objectives PURSE mobility Self tuning local information. network node Mobile Network

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distributed DYADIC CYCLIC DESCENT FOR NON-NEGATIVE MATRIX FACTORIZATION

DISTRIBUTED DYADIC CYCLIC DESCENT FOR NON-NEGATIVE MATRIX FA...

引用

IEEE International Conference on Acoustics, Speech and signal processing

作者： M.O. Ulfarsson V. Solo J. Sigurdsson J.R. Sveinsson University of Iceland Dept. Electrical Eng. Reykjavik ICELAND University of New South Wales School of Electrical Eng. Sydney AUSTRALIA

ISBN: (纸本)9781479999897

Non-negative matrix factorization (NMF) has found use in fields such as remote sensing and computer vision where the signals of interest are usually non-negative. Data dimensions in these applications can be huge and traditional algorithms break down due to unachievable memory demands. One is then compelled to consider distributed algorithms. In this paper, we develop for the first time a distributed version of NMF using the alternating direction method of multipliers (ADMM) algorithm and dyadic cyclic descent. The algorithm is compared to well established variants of NMF using simulated data, and is also evaluated using real remote sensing hyperspectral data.

关键词： Non-negative matrix factorization dyadic cyclic descent alternating direction method of multipliers optimization distributed signal processing NMF protocol descent matrix decomposition factorization Nonnegative remote sensing distributed algorithms simulated data images computer vision

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A SEMI-CLOSED FORM SOLUTION TO THE SNR BALANCING PROBLEM OF TWO-WAY RELAY NETWORK BEAMFORMING

A SEMI-CLOSED FORM SOLUTION TO THE SNR BALANCING PROBLEM OF ...

引用

IEEE International Conference on Acoustics, Speech, and signal processing

作者： Shahram Shahbazpanahi Min Dong Faculty of Engineering and Applied Science University of Ontario Institute of Technology Oshawa ON Canada L1H 7K4

ISBN: (纸本)9781424442959

In this paper, we present a semi-closed form solution to the SNR balancing problem, first considered in [1], in the context of network beamforming design for two-way relay networks. This solution relies on a simple bisection method to obtain the transmit power of one of the two transceivers. Given this transmit power, the relay beamforming weight vector is shown to have a closed-form solution. Simulation results show that the proposed solution has significantly lower computational complexity. We also present a suboptimal solution which does not use the aforementioned bisection algorithm while performs very closely to the optimal beamformer.

关键词： distributed beamforming ad hoc relay networks two-way relaying distributed signal processing SNR balancing bi-directional relaying Solution relay Transmitter power bidirectional relay signal to noise ratios Supernova remnants Bidirectional weight vectors Relay networks Solutions Beamforming Network

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distributed Kalman Filtering with quantized sensing state

Distributed Kalman Filtering with quantized sensing state

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IEEE International Conference on Acoustics, Speech and signal processing

作者： D. Li S. Kar S. Cui Dept. of ECE Texas A&M Univ. College Station TX USA

ISBN: (纸本)9781467369985

This paper studies a Quantized Gossip-based Interactive Kalman Filtering (QGIKF) algorithm implemented in a wireless sensor network, where the sensors exchange their quantized states with neighbors via inter-sensor communications. We show that with the information loss due to quantization, the network can still achieve weak consensus, i.e., the estimation error variance sequence at a randomly selected sensor can converge weakly (in distribution) to a unique invariant measure. To prove the weak convergence, we first interpret the error variance sequence evolution as the interacting particle, then formulate the sequence as a Random Dynamical System (RDS), and finally prove that it is stochastically bounded.

关键词： distributed signal processing Kalman filter gossip quantization Gossip Quantization Kalman filters Kalman filtering information loss Wireless sensor networks Sensors

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ACHIEVABLE RATE REGION AND SUM-RATE MAXIMIZATION FOR NETWORK BEAMFORMING FOR BI-DIRECTIONAL RELAY NETWORKS

ACHIEVABLE RATE REGION AND SUM-RATE MAXIMIZATION FOR NETWORK...

引用

IEEE International Conference on Acoustics, Speech, and signal processing

作者： Shahram Shahbazpanahi Min Dong Faculty of Engineering and Applied Science University of Ontario Institute of Technology Oshawa ON Canada L1H 7K4

ISBN: (纸本)9781424442959

We study the sum-rate maximization approach when applied to design a decentralized beamformer for two-way relay networks. Considering a constraint on the total transmit power consumed in the whole network, we prove that sum-rate maximization is equivalent to an SNR balancing approach where the smallest of the two receive SNRs is maximized subject to the same total power constraint.

关键词： distributed beamforming ad hoc relay networks two-way relaying distributed signal processing SNR balancing optimal power allocation bi-directional relaying relay Network bidirectional relay WWOX gene Transmitter power Bidirectional Relay networks power splitting

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Decentralized independent vector analysis

Decentralized independent vector analysis

引用

IEEE International Conference on Acoustics, Speech and signal processing

作者： Nikolas P. Wojtalewicz Rogers F. Silva Vince D. Calhoun Anand D. Sarwate Sergey M. Plis New College of Florida USA Mind Research Network USA Rutgers University USA

ISBN: (纸本)9781509041183

Independent vector analysis (IVA) is an approach for joint blind source separation of several data sets that learns simultaneous unmixing transforms for each set. It assumes corresponding sources from different data sets to be statistically dependent. One of the main advantages is IVA's ability to retain subject-specific differences while simplifying comparison across subjects as the resulting components have the same order. The latter is an instrumental property for enabling collaboration between remote sites without sharing their data, which may be required because of ethical, privacy or efficiency concerns. This paper proposes a new decentralized algorithm for IVA that exploits the structure of the objective function. A centralized aggregator coordinates IVA algorithms at multiple sites using message passing, parallelizing the computation and limiting the amount of communication. Thus, the algorithm enables a plausibly private collaboration across multiple sites. Besides enabling analysis of decentralized data, our approach improves the running time of IVA when used locally.

关键词： IVA distributed signal processing blind source separation decentralized data Blind source separation Vector Analysis Iva Decentralized message passing Runtime

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On the distributed acoustic sensing based on local time-frequency coherence analysis

On the distributed acoustic sensing based on local time-freq...

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IEEE International Conference on Acoustics, Speech and signal processing

作者： T. Petrut I. Candel C. Ioana Gipsa-Lab. Grenoble Inst. of Technol. St. Martin d'Heres France

ISBN: (纸本)9781467369985

This paper outlines novel approaches to design a new generation of distributed networks of acoustic sensors. The key-concept is marked by the use of time-frequency signal analysis tools directly embedded at the sensor node. The general framework for analysis at the acoustic sensor level is based on spectrogram which is very simple and easy to implement. The choice of the detection threshold in time-frequency domain is always a difficult task, even more complicated in the embedded computing configurations where eventual threshold adaptive selection algorithms might not have the required complexity. That is, the performances in terms of probability of detection classification and localization accuracy are generally strongly depending of the operational conditions. As such, this paper proposes a novel approach of local signal processing based on phase coherence criterion, designed to track the time-frequency multi-components and which is implemented in a distributed network with a minimum number of acoustic sensors.

关键词： acoustic source localization distributed signal processing time-frequency analysis

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