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检索条件"主题词=Projection algorithms"

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Improved set-membership partial-update affine projection algorithm

Improved set-membership partial-update affine projection alg...

引用

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

作者： Paulo S. R. Diniz Hamed Yazdanpanah Universidade Federal do Rio de Janeiro DEL/Poli & PEE/COPPE/UFRJ Rio de Janeiro RJ Brazil

ISBN: (纸本)9781479999897

In this paper, we present an improved set-membership partial-update affine projection (I-SM-PUAP) algorithm, aiming at accelerating the convergence, and decreasing the update rates and the computational complexity of the set-membership partial-update affine projection (SM-PUAP) algorithm. To meet these targets, we constrain the weight vector perturbation to be bounded by a hypersphere instead of the threshold hyperplanes as in the standard algorithm. We use the distance between the present weight vector and the expected update in the standard set-membership affine projection (SM-AP) algorithm to construct the hypersphere. With this strategy, the new algorithm shows better behavior in the early iterations. Simulation results verify the excellent performance of the proposed algorithm related to the convergence rate and the required number of updates.

关键词： Convergence Computational complexity Acceleration Standards Estimation error projection algorithms Mathematical model

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A projection Algorithm for Model Reduction

A Projection Algorithm for Model Reduction

引用

American Control Conference (ACC)

作者： Alan A. Desrochers Michael J. Pavol Electrical Computer & Systems Engineering Department Rensselaer Polytechnic Institute Troy NY USA

A least squares based algorithm is presented for the efficient computation of reduced order models of high order transfer functions using a projection matrix approach. The reduced order models produced by the proposed projection algorithm are selected from a set of admissible models consisting of all linear combinations of the subsets of a set of mode functions determined from the original system's partial fraction expansion. The functions to be included in the reduced model are selected through a multistage optimization process, where at each stage the mode function that causes the greatest reduction in the sum of the squared error of approximation over a desired range of frequencies is added to the model of the previous stage. Through the use of an easily calculated selection factor and a set of projection matrices, it is possible to select these functions without ever completely solving for the reduced model. Then, the optimal parameters for a linear combination of the selected mode functions is found through the solution of a triangularized system of linear equations which completely determine the reduced order model. The proposed algorithm is demonstrated on an eighth order system and is found to be an effective method with several attractive properties.

关键词： projection algorithms Reduced order systems Transfer functions Frequency Least squares approximation Least squares methods Systems engineering and theory Equations Control systems Linear systems

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Robust Adaptive Feedback Canceller Based on Modified Pseudo Affine projection Algorithm

Robust Adaptive Feedback Canceller Based on Modified Pseudo ...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： Keunsang Lee Yong-hyun Baik Youngcheol Park Dongwook Kim Junil Sohn Computer & Telecomm. Eng. Division Yonsei University Samsung Advanced Institute of Technology (SAIT)

ISBN: (纸本)9781424441211

This paper presents an adaptive feedback cancellation (AFC) algorithm with robust and stable performance. The proposed algorithm is based on the pseudo affine projection (PAP) algorithm which approximates the affine projection (AP) with a complexity comparable to the NLMS. Direct application of the PAP to AFC, however, often exhibits instability because of the delayed estimate of the linear prediction (LP) coefficients. This problem is solved in the proposed algorithm by utilizing an inverse gain filter (IGF) before the update of adaptive filter and by estimating the LP coefficients from the input signal without delay. Simulation results confirmed robustness and stability of the proposed algorithm.

关键词： input signal Affine In-law Automatic frequency control age at first kidding adaptive filters Pseudo projection algorithms Feedback Robustness Self tuning

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Automatic Recognition of Microarray Images Using projection Algorithm

Automatic Recognition of Microarray Images Using Projection ...

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International Conference on Bioinformatics and Biomedical Engineering (ICBBE)

作者： Yan Liu Yong-de Zhang Xian-zheng Sha Biomed. Eng. Dept. China Med. Univ. Shenyang China

To locate the spots in microarray images automatically, we combine the projection algorithm with statistic theory, making the gridding without absence and redundancy. The radius of spots could be estimated based on the improved algorithm, which is an important parameter in segmentation. Adaptive threshold is used to segment the image, and disk template generated automatically is used to detect the spots. The positive and weak spots could be detected correctly, so the methods are not only for the ideal images, but also for the images with many negative spots.

关键词： Image recognition projection algorithms Image segmentation Shape Biomedical engineering Biomedical imaging Statistics Image processing Fluorescence Signal processing

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UWB ISAR Imaging in 109-172 GHz Frequency band 16

UWB ISAR Imaging in 109-172 GHz Frequency band

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16th International Radar Symposium (IRS)

作者： Matuzas, J. Levitas, B. Drozdov, M. Anbinderis, T. Anbinderis, P. Kryshev, L. Kuch, S. Gorbatenko, V. Ikonikova, E. Geozondas Ltd 16 Shevchenkos Str LT-03111 Vilnius Lithuania Elmika Ltd LT-0227 Vilnius Lithuania

ISAR imaging radar system was designed in millimeter frequency band (109 - 170 GHz). Filtered Back-projection algorithm was applied for imaging. High quality images was obtained. System opens possibility for ISAR imag... 详细信息

ISBN: (纸本)9783954048533

关键词： Synthetic aperture radar Frequency bands projection algorithms Radar systems Imaging Image quality Ultra wideband technologies

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Methods for Large Scale Hydraulic Fracture Monitoring

Methods for Large Scale Hydraulic Fracture Monitoring

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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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Convex Optimization of Subspace Fitting Autofocus for Stripmap SAR Images

Convex Optimization of Subspace Fitting Autofocus for Stripm...

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IEEE Radar Conference (RADAR)

作者： West, Roger Gunther, Jacob Moon, Todd Utah State Univ Dept Elec & Comp Engn Logan UT 84322 USA

ISBN: (纸本)9781467306584

There are many different autofocus algorithms for correcting phase errors in stripmap SAR images. In this paper, we develop a mathematically principled model-based phase error estimation method for stripmap SAR images. The proposed phase estimation method uses classical subspace fitting techniques that are well known in the array processing literature. The novelty in this paper is the development of the proposed autofocus method and how the phase estimates are found using convex optimization. It is shown that the proposed method is non-iterative in the sense that iterations between the image domain and the range compressed domain to obtain our phase error estimates are not needed. It is also shown that the phase error estimates can be applied while simultaneously forming the SAR image using the convolution back-projection algorithm.

关键词： auto-focus phase error Convex function Synthetic aperture radar Radar polarimetry projection algorithms Subspace Convolution MACHINE SHOP PRACTICE iterative methods

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Fast projection algorithm for voxel arrays with object dependent boundaries

Fast projection algorithm for voxel arrays with object depen...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： Huaxia Zhao A.J. Reader Department of Instrumentation and Analytical Science (DIAS) UMIST (University of Manchester Institute of Science and Technology) UK

One-pass list-mode EM (OPL-EM), previously named ROPLE, is a new list-mode iterative reconstruction algorithm for high resolution, high count-rate and large field of view (FOV) PET scanners. The list-mode EM algorithm requires projecting every list-mode event from and into a large FOV with a large number of sub-millimeter voxels, and so substantial computing time is spent on back-projection and forward-projection operations. This paper presents an improved ray-tracing method, which extends the previously used projection algorithm, known as the Siddon algorithm, for a FOV with an irregularly bounded set of voxels instead of the traditional cubic array. This method can remove redundant projection operations in regions where no activity is present. This leads to typically a factor of 5 speed up compared to the conventional Siddon algorithm, and up to a factor of 2 speed up compared to the incremental approach.

关键词： projection algorithms Positron emission tomography Computed tomography Image reconstruction Detectors Ray tracing Object detection Shape measurement Equations Reconstruction algorithms

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Runway extraction method based on rotating projection for UAV

Runway extraction method based on rotating projection for UA...

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IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Yu-jie Sun Yang Li Huan Yang Beijing Institute of Technology Beijing China

ISBN: (纸本)9781467386456

We bring out a runway extraction method based on rotating projection in this paper, which is consisted of three steps, locating the Region of interest (ROI), edge extraction and line detection. Firstly we employed template matching to locate the ROI which contains the runway area. Then we use Sobel operator to extract edges. The rotating projection algorithm is proposed to seek the potential straights in ROI, which will be integrated into the real straights by means of improved K-means clustering method. Simulations are carried out in the end, and results show that the algorithm proposed in this paper can extract the four boundaries of the runway effectively, while it can reduce 50% of computing time compared with Hough transform.

关键词： Image edge detection Transforms Clustering algorithms projection algorithms Clustering methods Mathematical model Correlation

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Affine projection Subspace Tracking

Affine Projection Subspace Tracking

引用

IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Marc Vila Carlos Alejandro Lopez Jaume Riba Technical University of Catalonia (SPCOM/UPC)

In this paper, we consider the problem of estimating and tracking an R-dimensional subspace with relevant information embedded in an N-dimensional ambient space, given that N>>R. We focus on a formulation of the signal subspace that interprets the problem as a least squares optimization. The approach we present relies on the geometrical concepts behind the Affine projection algorithms (APA) family to obtain the Affine projection Subspace Tracking (APST) algorithm. This on-line solution possesses various desirable tracking capabilities, in addition to a high degree of configurability, making it suitable for a large range of applications with different convergence speed and computational complexity requirements. The APST provides a unified framework that generalises other well-known techniques, such as Oja's rule and stochastic gradient based methods for subspace tracking. This algorithm is finally tested in a few synthetic scenarios against other classical adaptive methods.

关键词： Conferences Signal processing algorithms Estimation Signal processing Robustness projection algorithms Computational complexity

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