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检索条件"主题词=Pursuit Algorithms"

共 488 条记录，以下是91-100 订阅

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Matching pursuit for compression and application to motion compensated video coding

Matching pursuit for compression and application to motion c...

引用

IEEE International Conference on Image Processing

作者： M. Vetterli T. Kalker Department of EECS Berkeley CA USA

In many hybrid video compression algorithms there is a clear distinction between motion estimation and compensation (MEMC) on the one hand, and transform coding of the residue on the other hand. By translating MEMC into the framework of matching pursuit (MP), we will show that unification of both steps is possible. Moreover, adapting the MP approach to the small size dictionaries involved in MEMC, it is shown that unification may in principle lead to a better performance of hybrid coding schemes. We close with a discussion on the practical obstacles of the technique, and how to avoid them.< >

关键词： Matching pursuit algorithms Video coding Dictionaries Rate-distortion pursuit algorithms Video compression Motion estimation Transform coding Statistics Time frequency analysis

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Review on cyclic pursuit in Spacecraft Formation Flying

Review on cyclic pursuit in Spacecraft Formation Flying

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International Conference on Recent Advances in Space Technologies (RAST)

作者： Huixin Yang Tao Yang Weihua Zhang College of Aerospace and Materials Engineering National University of Defense Technology Changsha Hunan China 410073

This paper proposes a creature behaviour-based pursuit strategy named cyclic pursuit for Spacecraft Formation Flying. Cyclic pursuit Problem is one of the most popular decentralized control methods. However, the applications in space mission are limited. A comprehensive review of the current studies on the theory of pursuit has been presented, including the fundamental principles and developments of three existing algorithms as well as the solutions based on the characteristics of different kinds of pursuit algorithm. Early-stage applications of cyclic pursuit algorithm (CyPA) have been summarized, the same to its characteristics and advantages. Two applicable simulations of Nonlinear Cyclic pursuit Algorithm (NlCyPA) have been conducted. In the end, the promising future applicability has been highlighted. Besides, further applications of Cyclic pursuit in space missions have been proposed.

关键词： pursuit algorithms Space vehicles Satellites Convergence Space missions Distributed control Multiagent systems

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Instantaneous frequency estimation via conditional spectral moments and matching pursuit decomposition

Instantaneous frequency estimation via conditional spectral ...

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IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)

作者： S. Ghofrani D.C. McLernon A. Ayatollahi Electrical Engineering Department Iran University of Science & Technology Tehran Iran School of Electronic and Electrical Engineering The University of Leeds Leeds UK

The conditional spectral moments are important concepts in signal analysis. In this paper, we decompose a nonstationary signal by use of the matching pursuit algorithm, through using two different types of dictionaries (i.e., the Gaussian and damped sinusoids dictionaries). Then we give expressions for the first and second conditional spectral moments, which are generalizations of the ideas of instantaneous frequency and instantaneous bandwidth. Although in many cases the second conditional moment is not positive and this makes the usual interpretation of this quantity impossible, in this paper we will prove that with matching pursuit decomposition, by using the Gaussian or damped sinusoids dictionaries, the second conditional moment is always positive. In addition, we show that the first moment closely estimates the true instantaneous frequency of the signal.

关键词： Frequency estimation Matching pursuit algorithms Time frequency analysis Dictionaries Signal analysis Signal resolution pursuit algorithms Bandwidth Signal mapping Energy resolution

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Sparse reconstruction for compressed sensing using Stagewise Polytope Faces pursuit

Sparse reconstruction for compressed sensing using Stagewise...

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International Conference on Digital Signal Processing (DSP)

作者： Mark D. Plumbley Marco Bevilacqua School of Electrical Engineering and Computer Science Queen''s Mary University of London London UK Dipartimento di Elettronica e Telecomunicazioni Università degli Studi di Firenze Florence Italy

Compressed sensing, also known as compressive sampling, is an approach to the measurement of signals which have a sparse representation, that can reduce the number of measurements that are needed to reconstruct the signal. The signal reconstruction part requires efficient methods to perform sparse reconstruction, such as those based on linear programming. In this paper we present a method for sparse reconstruction which is an extension of our earlier polytope faces pursuit algorithm, based on the polytope geometry of the dual linear program. The new algorithm adds several basis vectors at each stage, in a similar way to the recent stagewise orthogonal matching pursuit (StOMP) algorithm. We demonstrate the application of the algorithm to some standard compressed sensing problems.

关键词： Compressed sensing Matching pursuit algorithms pursuit algorithms Linear programming Geometry Greedy algorithms Sampling methods Vectors Signal reconstruction Telecommunications

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Mas-Based pursuit-Evasion Algorithm Under Unknown Environment

Mas-Based Pursuit-Evasion Algorithm Under Unknown Environmen...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Ying-Chun Chen Huan Qi Xia Liu Department of Control Science & Engineering Huazhong University of Science and Technology Wuhan China

Based on the interaction protocols of Contract Net and Subscribe-publish, a distributive pursuit-evasion algorithm is proposed for multi-agents with limited detection ranges to pursue multi-evaders in an unknown grid map with obstacles. The pursuit agents first explore the map according to the method of Artificial Potential Field. When any obstacle is detected within the neighborhood of a pursuer, it updates the map. If an evader is detected, the pursuer (initiator) sends call-for-proposals messages to other pursuers. The other pursuers use D* algorithm to calculate their steps to reach the evader and submit their proposals. The initiator picks up the proposals and evaluates, chooses the nearest ones to join the pursuit team, sends accept-proposals to the selected agents and manages the team during the process of pursuit. If the evader is within the kill radius of all pursuit team members, the task is done; otherwise, D* algorithm is applied by each pursuit member to plan a new path once the evader moves to a new position. Distributive in nature, it allows a large-scale robot fleet to perform complicated tasks in a coordinated way. The algorithm can be easily extended to 3D cases. Simulation results show that the pursuit agents can dynamically form a pursuit team to catch evaders efficiently.

关键词： pursuit algorithms Proposals Robot kinematics Costs Iterative algorithms Electronic mail Protocols Contracts Large-scale systems Biological system modeling

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Super-resolution Processing of SAR Images by Match pursuit Method Based on Fourier Dictionary

Super-resolution Processing of SAR Images by Match Pursuit M...

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International Conference on Computer Graphics, Imaging and Visualization, CGIV

作者： Xiong-Liang Wang Chun-Ling Wang Zheng-Ming Wang National University of Defence Technology China

In this paper, we extend the application of the March pursuit method to SAR super-resolution processing. Firstly, based on the SAR attributed scattering model, a Fourier dictionary with fast implicit algorithm is constructed in phase history domain. Secondly, with given dictionary the representation coefficient is got by Orthogonal March pursuit algorithm. Thirdly, in light of the fast implicit algorithm of Fourier dictionary, By IFFT to the coefficient, larger scale phase history data is built. Finally, By IFFT to the larger scale phase history data, higher resolution image is obtained. Simulation experiments and computational results of measured MSTAR data demonstrate that March pursuit based on Fourier dictionary can be implemented speedy and stably, it can provide super-resolution at the same time.

关键词： Image resolution Dictionaries Signal resolution Light scattering History pursuit algorithms Computational modeling Radar polarimetry Amplitude estimation Velocity measurement

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Hybrid greedy pursuit

Hybrid greedy pursuit

引用

European Signal Processing Conference (EUSIPCO)

作者： Saikat Chatterjee Dennis Sundman Mikko Vehkaperä Mikael Skoglund Communication Theory Laboratory School of Electrical Engineering KTH - Royal Institute of Technology Stockholm Sweden

For constructing the support set of a sparse vector in the standard compressive sensing framework, we develop a hybrid greedy pursuit algorithm that combines the advantages of serial and parallel atom selection strategies. In an iterative framework, the hybrid algorithm uses a joint sparsity information extracted from the independent use of serial and parallel greedy pursuit algorithms. Through experimental evaluations, the hybrid algorithm is shown to provide a significant improvement for the support set recovery performance.

关键词： Joints Vectors Matching pursuit algorithms Noise measurement Measurement uncertainty pursuit algorithms Standards

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A Match pursuit Based Method Adapted to Overcomplete Dictionary for Compressive Spectral Imaging

A Match Pursuit Based Method Adapted to Overcomplete Diction...

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Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)

作者： Jianchen Zhu Shengjie Zhao Rongqing Zhang Tongji University Shanghai China

ISBN: (数字)9789881476883

ISBN: (纸本)9781728181301

This paper proposes to introduce greedy pursuit, a conceptually simple hard thresholding pursuit algorithm called Signal Space Subspace pursuit (SSSP) for calculating spare signal representations with overcomplete dictionaries whenever the sensing matrix (sampling operator) satisfies the Restricted Isometry Property adapted to Dictionary (D-RIP). Signal space greedy method has the ability to optimally compute (near) best projections that allow one to identify the most related a small number of dictionary atoms of an arbitrary signal in this setting. More practically, standard recovery algorithms are applicable to such projections while maintaining accurate signal recovery. Simulation results with a typical hyperspectral data set demonstrate the superiority of the proposed approach.

关键词： Dictionaries Noise measurement Sensors Standards Sparse matrices Estimation pursuit algorithms

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Matching pursuit based decision-feedback equalizers

Matching pursuit based decision-feedback equalizers

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

作者： S.F. Cotter B.D. Rao Electrical and Computer Engineering Department University of California San Diego La Jolla CA USA

In this paper, equalization of channels with large delay spread but with few nonzero taps, such as those encountered in HDTV, are considered. Exploiting the sparse nature of the channel impulse response, we propose a decision feedback equalizer (DFE) which is based on a channel estimate obtained via a matching pursuit (MP) algorithm rather than the standard least squares (LS) channel estimate. It is shown that equalizers so designed result in a large performance gain. It is also shown that while truncation of the LS channel estimate to give a sparse channel estimate leads to some performance improvement, it falls well short of the MP-based DFE. In addition, an adaptive scheme which is intermediate in complexity between the LMS and RLS is presented for updating the sparse channel estimate in a time-varying environment. This adaptive algorithm outperforms the LMS.

关键词： Matching pursuit algorithms Decision feedback equalizers Least squares approximation Delay estimation HDTV pursuit algorithms Resonance light scattering Channel estimation Intersymbol interference Least squares methods

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Sparse approximation using fast matching pursuit

Sparse approximation using fast matching pursuit

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IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)

作者： Tao Gan Yanmin He Weile Zhu School of Electronic Engineering University of Electronic Science and Technology Cheng China

Matching pursuit based on geometric dictionary has shown to be a powerful tool for sparse image representation. The main obstacle to its application in real world is the computational complexity. In this paper, a modified algorithm is presented to address this issue. The dictionary with anisotropic refinement atoms is used to provide the approximation ability. Meanwhile the pursuit implementation is significantly speeded up by employing both sequential and parallel techniques. Experimental results show that compared to the latest matching pursuit approach, the proposed algorithm offers a speedup of 27.7-36.7 while maintaining the approximation quality. It is very promising for flexible image coding at low bit rate.

关键词： Matching pursuit algorithms Dictionaries Signal processing algorithms Image coding Greedy algorithms Computational complexity Anisotropic magnetoresistance Approximation algorithms pursuit algorithms Image decomposition

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