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检索条件"主题词=Projection Algorithms"

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A Simple Set-Membership Affine projection Algorithm for Sparse System Modeling

A Simple Set-Membership Affine Projection Algorithm for Spar...

引用

European Signal Processing Conference

作者： Hamed Yazdanpanah Paulo S. R. Diniz Markus V. S. Lima Federal University of Rio de Janeiro (UFRJ)

ISBN: (纸本)9781509018918

In this paper, we derive two algorithms, namely the Simple Set-Membership Affine projection (S-SM-AP) and the improved S-SM-AP (IS-SM-AP), in order to exploit the sparsity of an unknown system while focusing on having low computational complexity. To achieve this goal, the proposed algorithms apply a discard function on the weight vector to disregard the coefficients close to zero during the update process. In addition, the IS-SM-AP algorithm reduces the overall number of computations required by the adaptive filter even further by replacing small coefficients with zero. Simulation results show similar performance when comparing the proposed algorithm with some existing state-of-the-art sparsity-aware algorithms while the proposed algorithms require lower computational complexity.

关键词： Adaptive filtering Set-membership filtering Sparsity Discard function Computational complexity complexity classes adaptive filters Systems modelling weight vectors Affine In-law projection algorithms algorithms Zero

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A fast imaging algorithm using an IR-UWB Radar

A fast imaging algorithm using an IR-UWB Radar

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International Conference on Microwave and Millimeter Wave Technology Proceedings

作者： Qiyuan Liu Shengqiang Lou Zhan Wang Shuangxun Li College of Electronic Science and Engineering National University of Defence Technology Changsha Hunan P.R. China

This paper presents a fast algorithm for imaging based on Ultra-wideband (UWB) impulse radar. An Impulse Radar system was designed to image the objects which were placed on the motion rail based on the radar sensor. The image could be clear but the speed would be too slow by using time-domain back projection algorithm. This algorithm the paper presents, which can make a quick imaging, also ensures the accuracy of imaging. This algorithm is still efficient for multi-objective imaging. The experimental results are shown to validate the proposed algorithm.

关键词： Radar imaging Imaging Radar antennas Ultra wideband radar Delay effects projection algorithms

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A new approach to robust adaptive control

A new approach to robust adaptive control

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American Control Conference

作者： Heather S. Hussain Anuradha M. Annaswamy Eugene Lavretsky Department of Mechanical Engineering Massachusetts Institute of Technology (MIT) Cambridge 02141 USA The Boeing Company Huntington Beach CA 92647 USA

ISBN: (纸本)9781467386838

In this paper, we review a new approach in proving global boundedness of adaptive systems in the presence of nonparametric uncertainties. Recently, a rigorous mathematical proof has been suggested citing global boundedness for a class of unmodeled dynamics with minimal restrictions. The analytic methodology presented therein provides a novel approach to robust adaptive control. The underlying ideas, qualitative implications, and practical applicability of such are presented in this paper.

关键词： Adaptive control Robustness Adaptation models projection algorithms Standards Uncertainty Adaptive robust control adaptive control projection algorithms Adaptation models Uncertainty unmodeled dynamics Robustness Adaptive systems

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Modified Tone Reservation for PAPR Reduction in OFDM Systems

Modified Tone Reservation for PAPR Reduction in OFDM Systems

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European Signal Processing Conference

作者： Mamadou Lamarana Diallo Marwa Chafii Jacques Palicot Faouzi Bader CentraleSupelec/IETR/SCEE

ISBN: (纸本)9781509018918

One of the main drawbacks of orthogonal frequency division multiplex modulation is its high peak-to-average power ratio (PAPR) which can induce poor power efficiency at high power amplifier. Tone reservation (TR) is the most popular PAPR mitigation technique that uses a set of reserved tones to design peak cancelling signal for PAPR reduction. Finding an effective peak cancelling for PAPR reduction in the time domain by using only a small number of reserved tones, is not straightforward. Therefore, we are led to a trade-off between computational complexity and PAPR reduction. The TR method based on the gradient projection algorithm gives the best compromise. In this paper, we propose to modify the classical TR structure. The new proposed method achieves an improvement up to 1.2 dB in terms of PAPR performance without increasing the complexity. The effectiveness of this solution is confirmed through theoretical analysis and simulation results.

关键词： OFDM PAPR Tone Reservation CCDF Peak to average power ratio Orthogonal frequency division multiplexing CENTRAL CLOUDY DYSTROPHY OF FRANCOIS projection algorithms

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Projected Gauss-Seidel algorithm for multivariable algebraic loops with applications to constrained control

Projected Gauss-Seidel algorithm for multivariable algebraic...

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American Control Conference

作者： Zachary E. Nelson Ambrose. A. Adegbege Department of Electrical and Computer Engineering The College of New Jersey Ewing 08628-0718 USA

ISBN: (纸本)9781467386838

This paper proposes a matrix splitting strategy based on the Projected Gauss-Seidel algorithm for the solution of multivariable algebraic loops arising naturally in many constrained control problems. The solution algorithm is globally convergent for a very large class of problems and is orders of magnitude faster than several existing algorithms in the literature. The Projected Gauss-Seidel algorithm is easy to implement with a very minimal computation per iteration and shows promise for real-time and embedded control applications where a fast but approximate solution is of the essence.

关键词： Gain Linear systems Integrated circuit interconnections Symmetric matrices projection algorithms Approximation algorithms Real-time systems integrated circuit interconnections Symmetric matrix real-time systems Approximation algorithms Linear system projection algorithms Gain Loops Multivariable Algebra

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On the search algorithm for the output distribution that achieves the channel capacity

On the search algorithm for the output distribution that ach...

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International Symposium on Information Theory and Its Applications, ISITA

作者： Kenji Nakagawa Kohei Watabe Takuto Sabu Department of Electrical and Electronics and Information Engineering Nagaoka University of Technology Nagaoka Niigata Japan

We consider a search algorithm for the output distribution that achieves the channel capacity of a discrete memoryless channel. We will propose an algorithm by iterated projections of an output distribution onto affine subspaces in the set of output distributions. The problem of channel capacity has a similar geometric structure as that of smallest enclosing circle for a finite number of points in the Euclidean space. The metric in the Euclidean space is the Euclidean distance and the metric in the space of output distributions is the Kullback-Leibler divergence. We consider these two problems based on Amari's α-geometry [1]. Then, we first consider the smallest enclosing circle in the Euclidean space and develop an algorithm to find the center of the smallest enclosing circle. Based on the investigation, we will apply the obtained algorithm to the problem of channel capacity.

关键词： Channel capacity Geometry projection algorithms Euclidean distance Memoryless systems Heuristic algorithms Probability distribution

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A computationally optimal randomized proper orthogonal decomposition technique

A computationally optimal randomized proper orthogonal decom...

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American Control Conference

作者： Dan Yu Suman Chakravorty Department of Aerospace Engineering Texas A&M University College Station USA Aerospace Engineering Texas A&M University College Station USA

ISBN: (纸本)9781467386838

In this paper, we consider the model reduction problem of large-scale systems, such as systems obtained through the discretization of partial differential equations. We propose a computationally optimal randomized proper orthogonal decomposition (RPOD*) technique to obtain the reduced order model by perturbing the primal and adjoint system using Gaussian white noise. We show that the computations required by the RPOD* algorithm is orders of magnitude cheaper when compared to the balanced proper orthogonal decomposition (BPOD) algorithm while the performance of the RPOD* algorithm is better than BPOD. It is optimal in the sense that a minimal number of snapshots is needed. We also relate the RPOD* algorithm to random projection algorithms. One numerical example is given to illustrate the procedure.

关键词： Read only memory Reduced order systems Algorithm design and analysis Markov processes Large-scale systems White noise projection algorithms

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Extent estimation of jitter based on the longest path for surveillance videos

Extent estimation of jitter based on the longest path for su...

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International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

作者： Ping Yang Li Chen Jing Tian Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Wuhan China

ISBN: (纸本)9781509037117

The existing video jitter detection algorithms only calculate parameters such as displacement, rotation angle, zoom scale. The lack of extent calculation of jitter leads to wrong judgments while faced with complications. To tackle the problem, the longest path based algorithm for extent estimation of jitter was proposed in this paper. First, global motion estimation was conducted by gray projection algorithm introduced local consistency of jitter. Then, ratio, frequency and amplitude of jitter were calculated according to the longest path algorithm combined with global motion parameters. Finally, the extent estimation of jitter was realized via machine learning approach on the basis of jitter parameters obtained in the last step. Experimental results demonstrate the validity and feasibility of the proposed algorithm.

关键词： Jitter Videos Motion estimation Estimation Surveillance projection algorithms Correlation

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A Hardware Implementation of an Orthorectification Process

A Hardware Implementation of an Orthorectification Process

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IEEE National Aerospace and Electronics Conference (NAECON)

作者： Shaffer, Daniel A. Kordik, Andrew M. Walker, David M. Balster, Eric J. Turri, William F. Univ Dayton Res Inst 300 Coll Pk Dayton OH 45469 USA Univ Dayton Dept Elect & Comp Engn Kettering Lab Dayton OH 45469 USA

ISBN: (纸本)9781467375658

This paper presents a hardware implementation of an image orthorectification process using the back-projection algorithm. Image orthorectification is integral to effective analysis and exploitation of aerial imagery and is often one of the largest processing bottlenecks. As imaging sensors grow in pixel count and associated target footprint, the image orthorectification process requires an associated increase in compute capability. In order to support size, weight, and power ( SWaP) constrained processing environments, such as on-board systems for unmanned aerial vehicles ( UAVs), efficient and scalable solutions must be developed. Moreover, in surveillance applications minimizing latency is paramount. This paper presents an integer-based high performance FPGA implementation of a back-projection algorithm for orthorectification. A 2.4x speedup is achieved over software processing with an associated 15x reduction in total power draw.

关键词： Image registration projection algorithms field programmable gate arrays hardware

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Medical Image Registration Algorithm Based on Compressive Sensing and Scale-invariant Feature Transform 8

Medical Image Registration Algorithm Based on Compressive Se...

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8th International Conference on Intelligent Computation Technology and Automation (ICICTA)

作者： Sa, Yang Guangdong Univ Educ Dept Phys Guangzhou 510303 Guangdong Peoples R China

ISBN: (纸本)9781467376440

A registration algorithm based on compressive sensing theory and SIFT(Scale-Invariant Feature Transform) is proposed. By the sparse feature representation methods, the feature vector of SIFT is extracted and the high-dimensional gradient derivative is decreased to low-dimensional sparse feature vector. Accordingly, Euclidean distance is introduced to compute the similarity and dissimilarity between feature vectors used for image registration and BBF(Best-Bin-First) data structure is used to avoid exhaustion. The experimental results show that the proposed algorithm has better performance than the traditional SIFT algorithm. Comparing with the current modified SIFT algorithms, the real-time performance of the proposed algorithm is improved obviously.

关键词： Biomedical image processing feature extraction image registration projection algorithms

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