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5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)

作者： Ely, Gregory Aeron, Shuchin Tufts Univ Dept ECE Medford MA 02155 USA

ISBN: (纸本)9781467331463;9781467331449

In this paper we propose computationally efficient and robust methods for estimating the moment tensor and location of microseismic event(s) for large search volumes. Our contribution is two-fold. First, we propose a novel joint-complexity measure, namely the sum of nuclear norms which while imposing sparsity on the number of fractures (locations) over a large spatial volume, also captures the rank-1 nature of the induced wavefield pattern. This wavefield pattern is modeled as the outer-product of the source signature with the amplitude pattern across the receivers from a seismic source. A rank-1 factorization of the estimated wavefield pattern at each location can therefore be used to estimate the seismic moment tensor using the knowledge of the array geometry. In contrast to existing work this approach allows us to drop any other assumption on the source signature. Second, we exploit the recently proposed first-order incremental projection algorithms for a fast and efficient implementation of the resulting optimization problem and develop a hybrid stochastic & deterministic algorithm which results in significant computational savings.

关键词： moment tensors Hydraulic Fracking projection algorithms Earthquakes Tensor Receivers deterministic algorithms

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Rapid Prototyping projection algorithms with FPGA Technology

Rapid Prototyping Projection Algorithms with FPGA Technology

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International Workshop on Rapid System Prototyping (RSP)

作者： John Cole Larry Garey Kenneth B. Kent Department Computer Science and Applied Statistics University of New Brunswick Saint John's NB Canada Faculty of Computer Science University of New Brunswick Fredericton NB Canada

ISBN: (纸本)9781424444182

Linear systems with Toeplitz coefficient matrices often appear in applied science problems. Systems of this form arise as a result of finite difference methods when applied to approximate differential equations with boundary conditions. The sparse structure of Toeplitz matrices lend themselves well to iterative algorithms, such as projection methods, and are favored techniques for solving large systems. Field programmable gate arrays (FPGAs) have been growing in popularity among the scientific community due to the potential for increased performance when evaluating mathematical operations. The regular, sparse, structure inherent in Toeplitz systems makes it suitable for FPGA acceleration. Here, a framework is developed to support the efficient development of projection algorithms in an FPGA. Results of applying the framework to two projection algorithms are presented.

关键词： Prototypes projection algorithms Field programmable gate arrays Sparse matrices Linear systems Finite difference methods Differential equations Boundary conditions Iterative algorithms Acceleration

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New Double projection Algorithm for Solving Variational Inequalities

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JOURNAL OF APPLIED MATHEMATICS 2013年第unknown期000卷 714397-1-714397-8页

作者： Zheng, Lian Yangtze Normal Univ Dept Math & Comp Sci Chongqing 408100 Peoples R China

We propose a class of new double projection algorithms for solving variational inequality problem, which can be viewed as a framework of the method of Solodov and Svaiter by adopting a class of new hyperplanes. By the separation property of hyperplane, our method is proved to be globally convergent under very mild assumptions. In addition, we propose a modified version of our algorithm that finds a solution of variational inequality which is also a fixed point of a given nonexpansive mapping. If, in addition, a certain local error bound holds, we analyze the convergence rate of the iterative sequence. Numerical experiments prove that our algorithms are efficient.

关键词： projection algorithm variational projection projection judicial separation Fixed point projection algorithms algorithms Local errors Hyperplane inequalities DOUBLE

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FPGA implementation of back projection algorithm for radar imaging

FPGA implementation of back projection algorithm for radar i...

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IEEE International Conference on Radar

作者： Nieves Crasto T Kishore Kumar D. Anuradha Paramita Barua Sirisha Nemani Department of Electronics and Communication Engineering National Institute of Technology Warangal India Electronics and Radar Development Establishment DRDO Bangalore India

The growing security concerns worldwide have lead to the development of wideband radar systems to estimate the position and shape of objects behind barriers. For an accurate reconstruction of the scene of interest, a huge amount of measurements are required. Thus wideband signals with large array apertures are required to generate high resolution images. This paper describes how the raw data is processed using back-projection algorithm in order to reconstruct a 2-D image with the help of FPGA. It also deals with the practical advantages of back projection algorithm compared to other beamforming algorithms. The raw data is generated using stepped frequency continuous wave radar.

关键词： Radar imaging projection algorithms Transmitters Field programmable gate arrays Receivers Imaging

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ACCELERATION OF FAST FACTORIZED BACK projection ALGORITHM FOR BISTATIC SAR

ACCELERATION OF FAST FACTORIZED BACK PROJECTION ALGORITHM FO...

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IEEE International Geoscience and Remote Sensing Symposium

作者： Miao Yu Xiaoling Zhang Zhe Liu Dept. of Electronic Engineering University of Electronic Science and Technology of China

ISBN: (纸本)9781479911127

In this paper, we present an accelerated fast factorized back-projection algorithm designed for bistatic SAR data. This method supports a precise bistatic SAR image reconstruction and can attain high execution efficiency. Key to this method is the optimized parallel implementation of the original algorithm that can be executed on GPU. We make effort to a parallelization of factorized back-projection by a reasonable parallel strategy so that it can be implemented by CUDA on GPU. Moreover, we also do some optimization for a further improvement, including memory optimization and phase compute optimization, and when it comes to the translational-invariant data, an extra slant range compute optimization have been done yet. The validity and advantage of proposed approach are verified by simulated X-band bistatic SAR data and experimental data.

关键词： bistatic CUDA factorized BP projection algorithms acceleration Bistatic synthetic aperture radar projection image reconstruction parallelization GRAPPER PICK UP Graphics Processing Unit algorithms Rescue Synthetic aperture radar Specific absorption rate SAFETY ANALYSIS REPORTS

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INTERMITTENTLY-UPDATED AFFINE projection ALGORITHM

INTERMITTENTLY-UPDATED AFFINE PROJECTION ALGORITHM

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IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Felix Albu Marius Rotaru Reza Arablouei Kutluyil Dogancay Valahia University of Targoviste Bd. Unirii nr. 18-24 Targoviste Romania Institute for Telecommunications Research University of South Australia Mawson Lakes SA Australia School of Engineering University of South Australia Mawson Lakes SA Australia

ISBN: (纸本)9781479903573

Acoustic echo cancellation and feedback cancellation systems require robust and computationally efficient adaptive filtering techniques. In this paper, a new affine projection algorithm with intermittent update of the filter coefficients is proposed where the update interval is determined according to the adaptation state. Simulation results show that the proposed algorithm provides improved performance and reduced average computational complexity compared with other similar algorithms for acoustic echo cancellation and acoustic feedback cancellation applications.

关键词： acoustic echo cancellation Filter coefficient algorithms Echo cancellers projection algorithms CANCELLATIONS projection Feedback

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AN EFFICIENT DATA-REUSING KERNEL ADAPTIVE FILTERING ALGORITHM BASED ON PARALLEL HYPERSLAB projection ALONG AFFINE SUBSPACES

AN EFFICIENT DATA-REUSING KERNEL ADAPTIVE FILTERING ALGORITH...

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Masa-aki Takizawa Masahiro Yukawa Dept. Electrical and Electronic Engineering Niigata University Japan

ISBN: (纸本)9781479903573

We propose a novel kernel adaptive filtering algorithm, dubbed Parallel HYperslab projection along Affine Sub-Spaces (Φ-PASS), which reuses observed data efficiently. We first derive its fully-updating version that projects the current filter onto multiple hyperslabs in parallel along the dictionary subspace. Each hyperslab accommodates one of the data observed up to the present time instant. The algorithm is derived with the adaptive projected subgradient method (APSM) based on which a convergence analysis is presented. We then generalize the algorithm so that only a few coefficients, whose associated dictionary-data are coherent to the datum of each hyperslab, can be updated selectively for low complexity. This is accomplished by performing the hyperslab projections along affine subspaces defined with the selected dictionary-data. Numerical examples show the efficacy of the proposed algorithm.

关键词： kernel adaptive filter projection algorithms reproducing kernel Hilbert space the HYPASS algorithm

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An efficient implementation of the kernel affine projection algorithm

An efficient implementation of the kernel affine projection ...

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International Symposium on Image and Signal Processing and Analysis

作者： Felix Albu Dinu Coltuc Marius Rotaru Kiyoshi Nishikawa Faculty of Electronics Valahia University of Targoviste Targoviste Romania Department of Information and Communication Systems Tokyo Metropolitan University Tokyo Japan

In this paper an efficient kernel affine projection algorithm using dichotomous coordinate descent iterations is proposed. The effectiveness of the proposed algorithm for nonlinear system identification and forward pr... 详细信息

关键词： Kernel Signal processing algorithms Adaptive filters projection algorithms Prediction algorithms Algorithm design and analysis

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Adaptive distributed incremental networks based on the selective partial update affine projection algorithm

Adaptive distributed incremental networks based on the selec...

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Iranian Conference on Electrical Engineering (ICEE)

作者： Ali-Reza Danaee Mohammad Shams Esfand Abadi Faculty of Electrical and Computer Engineering Shahid Rajaee Teacher Training University Tehran Iran

ISBN: (纸本)9781467356329

This paper presents the problem of distributed estimation in an adaptive incremental network based on the selective partial update affine projection algorithm (SPU-APA). In dSPU-APA, the weight coefficients are partially updated at each node during the adaptation. The distributed SPU-APA (dSPU-APA) has low computational complexity feature and close convergence speed to ordinary dAPA. The good performance of dSPU-APA is demonstrated by several computer simulations in distributed network.

关键词： Steady-state Estimation Adaptive systems Computational complexity Indexes projection algorithms Vectors

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Gossip-based Random projection Algorithm for Distributed Optimization: Error Bound

Gossip-based Random Projection Algorithm for Distributed Opt...

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IEEE Annual Conference on Decision and Control

作者： Soomin Lee Angelia Nedic Electr. &amp Comput. Eng. Univ. of Illinois Urbana IL USA|c|

ISBN: (纸本)9781467357159

We consider a fully distributed constrained convex optimization problem over a multi-agent network. We discuss an asynchronous gossip-based random projection (GRP) algorithm that solves the distributed problem using only local communication and computation. We analyze its error bound for a constant stepsize and provide simulation results on a distributed robust model predictive control problem.

关键词： projection algorithms NETWORKING AGENT Distribute Bound Random step size

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