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International Conference on Consumer Electronics, Communications and Networks

作者： Yu Shicai Wu Qianjun Lu Rong College of Computer and Communication Lanzhou University of Technology Lanzhou China

ISBN: (纸本)9781612844589

Ray Casting Algorithm is a classic rendering approach in volume rendering. It is widely used in the 3D visualization field of medical images, but the rendering speed is very slowly. In order to improve the rendering speed, an high efficient and speed algorithm of Ray Casting based on space leaping and rapid interpolation is presented. Along with a comparing experiment of three kinds of methods in time and drawing quality, the result shows that the accelerate algorithm proposed in this paper can not only get a high quality rendering image, but also improve a rendering speed to a high level. There is some certain value in practical aspect of 3D visualization of medical images.

关键词： Rendering (computer graphics) Acceleration Interpolation Algorithm design and analysis Casting projection algorithms Correlation

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Detecting Instability Potentials in Regularization for Fast Affine projection algorithms

Detecting Instability Potentials in Regularization for Fast ...

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Asilomar Conference on Signals, Systems & Computers

作者： Heping Ding Institute for Microstructural Sciences National Research Council Canada

In fast affine projection (FAP) adaptation algorithms, it is needed to explicitly or implicitly perform a matrix inversion, during which a small positive regularization factor plays an important role in keeping the algorithm stable and optimized. While existing schemes choose the regularization factor based on certain system criteria not related to the inversion, this paper proposes a simple scheme that dynamically diagnoses the inversion process itself for potentials of instability. This work paves the way for further studies on "minimal regularization and step-size control" technique. A FAP adopting this technique can be compared with FAPs with existing regularization schemes for convergence and steady state performance.

关键词： projection algorithms Financial advantage program Adaptive filters Convergence Stability Noise cancellation Size control Councils Steady-state Adaptive equalizers

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A highly accurate software scanned cell projection algorithm and its parallelization

A highly accurate software scanned cell projection algorithm...

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International Conference on Computer Science and Service System (CSSS)

作者： Kangjian Wang Yongxia Zhou College of Information Engineering China Jiliang University Hangzhou China

ISBN: (纸本)9781424497621

We develop a highly accurate software scanned cell projection algorithm which is applicable of any classification system. This algorithm could handle both convex and non-convex meshes, and provide maximum flexibilities in applicable types of cells. Compared with previous algorithms using 3D commodity graphics hardware, it introduces no the volume decomposition and rendering artifacts in the resulting images. Furthermore, its parallel version is investigated to overcome the bottleneck of the serial one in terms of time and memory consuming for visualizing large scale unstructured data. Finally, high resolution images generated by the parallel algorithm are provided, and the scalability of the algorithm is demonstrated on a PC Cluster with modest parallel resources.

关键词： Software Software algorithms Rendering (computer graphics) projection algorithms Classification algorithms Educational institutions Parallel algorithms

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Two-dimensional variable step-size normalized least mean squares and affine projection adaptive filter algorithms

Two-dimensional variable step-size normalized least mean squ...

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Iranian Machine Vision and Image Processing (MVIP)

作者： Mohammad Shams Esfand Abadi Sahar Nikbakht Faculty of Electrical and Computer Engineering Shahid Rajaee University Tehran Iran

In this paper the new two-dimensional (TD) adaptive filter algorithms are introduced. The presented algorithms are TD variable step-size (VSS) normalized least mean squares (TD-VSS-NLMS) and TD-VSS affine projection algorithms (TD-VSS-APA). In these algorithms, the step-size changes during the adaptation which leads to the low steady-state mean square error (MSE), and fast convergence speed. We demonstrate the good performance of the derived algorithms in TD system identification and adaptive noise cancellation in digital images for image restoration.

关键词： Adaptive filters System identification Finite impulse response filter Convergence Signal processing algorithms Noise cancellation projection algorithms

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A New projection Algorithm for Generalized Variational Inequality

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JOURNAL OF INEQUALITIES AND APPLICATIONS 2010年第1期2010卷 182576-182576页

作者： Fang, Changjie He, Yiran Sichuan Normal Univ Dept Math Chengdu 610068 Sichuan Peoples R China Chongqing Univ Posts & Telecommun Inst Appl Math Chongqing 400065 Peoples R China

We propose a new projection algorithm for generalized variational inequality with multivalued mapping. Our method is proven to be globally convergent to a solution of the variational inequality problem, provided that the multivalued mapping is continuous and pseudomonotone with nonempty compact convex values. Preliminary computational experience is also reported.

关键词： projection algorithms Multivalued inequalities MAPPING(MATHEMATICAL)

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Comments on "Variable Explicit Regularization in Affine projection Algorithm: Robustness Issues and Optimal Choice"

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2010年第7期58卷 3952-3953页

作者： Muralidhar, Karthik Li, Kwok Hung George, Sapna STMicroelect Asia Pacific Pte Ltd Singapore 554812 Singapore Nanyang Technol Univ Sch Elect & Elect Engn Singapore 554812 Singapore

A letter to the editor is presented in response to the article 'Variable Explicit Regularization in Affine projection Algorithm: Robustness Issues and Optimal Choice,' by Hernán Rey et al.

关键词： Speech projection algorithms Noise measurement Delay Echo cancellers Robustness Context

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Author's Reply to "Comments on 'Variable Explicit Regularization in Affine projection Algorithm: Robustness Issues and Optimal Choice' "

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2010年第7期58卷 3953-3954页

作者： Rey, Hernan Rey Vega, Leonardo Benesty, Jacob Tressens, Sara Univ Buenos Aires Buenos Aires DF Argentina Consejo Nacl Invest Cient & Tecn RA-1033 Buenos Aires DF Argentina Univ Quebec INRS EMT Montreal PQ H5A 1K6 Canada

A response by Hernán Rey and colleagues to a letter to the editor about their article 'Variable Explicit Regularization in Affine projection Algorithm: Robustness Issues and Optimal Choice' is presented.

关键词： Signal processing algorithms Robustness Signal to noise ratio Echo cancellers projection algorithms Detectors Speech

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Adaptive Vector Control of an Induction Motor on the Basis of the Method of Recurrent Objective Inequalities

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AUTOMATION AND REMOTE CONTROL 2010年第9期71卷 1849-1863页

作者： Bondarko, V. A. St Petersburg State Univ St Petersburg Russia

The problem is considered for control of an electromagnetic moment of the induction motor with a squirrel-cage rotor without the measurement of its rotational speed. By means of the principle of vector control, this problem reduces to developing an adaptive observer of values of the vector of the rotor magnetic-flux linkage. The method of recurrent objective inequalities (ROIs) is used, which enables one to reduce adaptation problems to counting systems of inequalities relative to the vector of the parameters estimated. For the control problem under consideration, these inequalities prove to be nonconvex, which makes it impossible to use directly the projection algorithms developed in the framework of the method of ROIs. In this connection, the common method for the stepwise reduction of the dimension of the nonlinear portion of inequalities is suggested in this work. On condition that the processes of a closed system display a certain natural property of nondegeneracy, this method permits reducing nonconvex inequalities to convex ones and ensures the achievement of the control aim on completion of the transient processes.

关键词： Basis rotational speed induction motors squirrel-cage rotor projection algorithms inequalities transient processes

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Rotational motion estimation for ISAR via triangle pose difference on two range-Doppler images

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IET RADAR SONAR AND NAVIGATION 2010年第4期4卷 528-536页

作者： Yeh, C. -M. Xu, J. Peng, Y. -N. Xia, X. -G. Wang, X. -T. Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China Univ Delaware Dept Elect & Comp Engn Newark DE USA

Rotational motion estimation is essential for inverse synthetic aperture radar (ISAR) imaging and understanding. For an object rotating with a constant acceleration, a closed-form solution is proposed to jointly estimate the initial rotating velocity (IRV) and the rotating acceleration (RA) by exploiting the pose difference of a triangle on two range-Doppler (RD) images. Then, the RA can be compensated with interpolation processing and an equivalent uniformly rotating object may be obtained. After that, the estimated IRV can be used to re-scale the RD image into the homogeneous range-cross range domain, or to provide more satisfactory imaging result via elaborated algorithms such as polar format algorithm or convolution back-projection algorithm. Finally, experimental results with both simulated and real airplane data are provided to demonstrate the effectiveness of the proposed method.

关键词： Convolution Inverse synthetic aperture radar motion estimation constant acceleration projection algorithms REMEDIAL DESIGN Triangle

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Functions with prescribed best linear approximations

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JOURNAL OF APPROXIMATION THEORY 2010年第5期162卷 1095-1116页

作者： Combettes, Patrick L. Reyes, Noli N. Univ Paris 06 Lab Jacques Louis Lions CNRS UMR 7598 F-75005 Paris France Univ Philippines Diliman Inst Math Quezon City 1101 Philippines

A common problem in applied mathematics is that of finding a function in a Hilbert space with prescribed best approximations from a finite number of closed vector subspaces. In the present paper we study the question of the existence of solutions to such problems. A finite family of subspaces is said to satisfy the Inverse Best Approximation Property (IBAP) if there exists a point that admits any selection of points from these subspaces as best approximations. We provide various characterizations of the IBAP in terms of the geometry of the subspaces. Connections between the IBAP and the linear convergence rate of the periodic projection algorithm for solving the underlying affine feasibility problem are also established. The results are applied to investigate problems in harmonic analysis, integral equations, signal theory, and wavelet frames. (C) 2009 Elsevier Inc. All rights reserved.

关键词： wavelets Linear Subspace optimal approximation Hilbert space Signal theory projection algorithms Applied mathematics

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