In order to increase the linear CCD light-spot location accuracy and strengthen the ant-noise ability of centroid algorithm, an improved algorithm is presented. According to the symmetry distribution and high gray...
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ISBN:
(纸本)9781424438631;9781424438624
In order to increase the linear CCD light-spot location accuracy and strengthen the ant-noise ability of centroid algorithm, an improved algorithm is presented. According to the symmetry distribution and high gray value of the object region, squared weight method and linear interpolation are used to enhance the effect of object region. Meanwhile, linear interpolation and iteration algorithm are utilized to improve the resolution and accuracy on signal segmentation. The simulation result shows that it is more accurate and stable than other sub-pixel algorithm, and the satisfying result is obtained
In order to increase the linear CCD light-spot location accuracy and strengthen the ant-noise ability of centroid algorithm, an improved algorithm is presented. According to the symmetry distribution and high gray val...
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In order to increase the linear CCD light-spot location accuracy and strengthen the ant-noise ability of centroid algorithm, an improved algorithm is presented. According to the symmetry distribution and high gray value of the object region, squared weight method and linear interpolation are used to enhance the effect of object region. Meanwhile, linear interpolation and iteration algorithm are utilized to improve the resolution and accuracy on signal segmentation. The simulation result shows that it is more accurate and stable than other sub-pixel algorithm, and the satisfying result is obtained.
We here propose a multi-plane based iterative solution in intensity diffraction tomographic microscopy (MPIS-IDTM) to solve the problem of inverse scattering without making any assumptions and reconstruct high- resolu...
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We here propose a multi-plane based iterative solution in intensity diffraction tomographic microscopy (MPIS-IDTM) to solve the problem of inverse scattering without making any assumptions and reconstruct high- resolution refractive index (RI) tomography of three-dimensional (3D) thick biological samples. By invoking the idea of transport of intensity and sparse intensity stacks, the defocused intensity image boosts the low frequency of RI via the axially defocusing strategy. Additionally, the illumination case can be extended to the un-matched condition, where illumination numerical-aperture (NA) allows for much smaller detection NA without low-frequency missing issues, enabling oil-immersion objective detection beyond dry/water-immersion detection. The comparison results between the conventional single-layer intensity constraint propagation-based method and the proposed approach demonstrate the advantage of MPIS in both simulation and experiment. Also, we experimentally validate the reconstruction of samples with varying amounts of fixed and live samples, and the results of MPIS-IDTM makes the 3D tomography possible under more extreme detection conditions and expands the possibilities for future studies in the highly scattering imaging of biomedicine and life sciences.
In this article, the problem of robust H (2) and H (infinity) filter design for linear systems with polytopic parameters is studied. First, the dimensions of filter design matrices are dilated. For H (2) filter, the m...
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In this article, the problem of robust H (2) and H (infinity) filter design for linear systems with polytopic parameters is studied. First, the dimensions of filter design matrices are dilated. For H (2) filter, the matrix is dilated from 3 to 4, and for H (infinity) filter, the corresponding matrix is dilated from 4 to 5, such that more slack variables can be introduced. Then, the polynomial parameter-dependent method is applied to design the Lyapunov function and filter gains. In addition, an iteration algorithm is used to further reduce the conservativeness. Finally, the effectiveness and the superiority of the proposed conditions are shown by four examples.
Graph partitioning is a classical NP problem. The goal of graphing partition is to have as few cut edges in the graph as possible. Meanwhile, the capacity limit of the shard should be satisfied. In this paper, a model...
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Graph partitioning is a classical NP problem. The goal of graphing partition is to have as few cut edges in the graph as possible. Meanwhile, the capacity limit of the shard should be satisfied. In this paper, a model for graph partitioning is proposed. Then the model is converted into a mixed 0-1 linear programming by introducing variables. In order to solve this model, we select some variables to design the vertex relocation model. This work designs a variable selection strategy according to the effect of vertex relocation on the number of local edges. For purpose of implementing graph partitioning on large scale graph, we design an iterative algorithm to solve the model by selecting some variables in each iteration. The algorithm relocates the shard of the vertex according to the solution of the model. In the experiment, the method in this paper is simulated and compared with BLP and its related methods in the different shard sizes on the five social network datasets. The simulation results show that the method of this paper works well. In addition, we compare the effects of different parameter values and variables selection strategies on the partitioning effect.
The paper is concerned with the new iteration algorithm to solve boundary integral equations arising in boundary value problems of mathematical physics. The stability of the algorithm is demonstrated on the problem of...
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The paper is concerned with the new iteration algorithm to solve boundary integral equations arising in boundary value problems of mathematical physics. The stability of the algorithm is demonstrated on the problem of a flow around bodies placed in the incompressible inviscid fluid. With a discrete numerical treatment, we approximate the exact matrix by a certain Toeplitz one and then apply a fast algorithm for this matrix, on each iteration step. We illustrate the convergence of this iteration scheme by a number of numerical examples, both for hard and soft boundary conditions. It appears that the method is highly efficient for hard boundaries, being much less efficient for soft boundaries. (C) 2012 Elsevier B.V. All rights reserved.
In this paper, a new iteration approach is derived to solve the optimal strategies for quadratic zero-sum game of finite-horizon continuous-time nonaffine nonlinear system. Through iteration algorithm, between two seq...
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In this paper, a new iteration approach is derived to solve the optimal strategies for quadratic zero-sum game of finite-horizon continuous-time nonaffine nonlinear system. Through iteration algorithm, between two sequences which are a sequence of state trajectories of linear quadratic zero-sum games and a sequence of corresponding Riccati differential equations, the optimal strategies for the nonaffine nonlinear zero-sum game are given. Under very mild conditions of local Lipschitz continuity, the convergence of approximating linear time-varying sequences is proved. A numerical example is given to demonstrate the convergence and effectiveness of the proposed approach.
Abstract: Durand and Kerner independently have proposed a quadratically convergent iteration method for finding all zeros of a polynomial simultaneously. Here, a new derivation of their iteration equation is g...
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Abstract: Durand and Kerner independently have proposed a quadratically convergent iteration method for finding all zeros of a polynomial simultaneously. Here, a new derivation of their iteration equation is given, and a second, cubically convergent iteration method is proposed. A relatively simple procedure for choosing the initial approximations is described, which is applicable to either method.
The natural element method (NEM) is a newly- developed numerical method based on Voronoi diagram and Delaunay triangulation of scattered points, which adopts natural neighbour interpolation to construct trial functi...
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The natural element method (NEM) is a newly- developed numerical method based on Voronoi diagram and Delaunay triangulation of scattered points, which adopts natural neighbour interpolation to construct trial functions in the framework of Galerkin method. Owing to its distinctive advantages, the NEM is used widely in many problems of computational mechanics. Utilizing the NEM, this paper deals with numerical limit analysis of structures made up of perfectly rigid-plastic material. According to kinematic the- orem of plastic limit analysis, a mathematical programming natural element formulation is established for determining the upper bound multiplier of plane problems, and a direct iteration algorithm is proposed accordingly to solve it. In this algorithm, the plastic incompressibility condition is handled by two different treatments, and the nonlinearity and nons- moothness of the goal function are overcome by distinguishing the rigid zones from the plastic zones at each iteration. The procedure implementation of iterative process is quite simple and effective because each iteration is equivalent to solving an associated elastic problem. The obtained limit load multiplier is proved to monotonically converge to the upper bound of true solution. Several benchmark examples are investigated to validate the significant performance of the NEM in the application field of limit analysis.
This paper introduces a new music signal processing method to extract multiple fundamental frequencies, which we call specmurt analysis. In contrast with cepstrum which is the inverse Fourier transform of log-scaled p...
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This paper introduces a new music signal processing method to extract multiple fundamental frequencies, which we call specmurt analysis. In contrast with cepstrum which is the inverse Fourier transform of log-scaled power spectrum with linear frequency, specmurt is defined as the inverse Fourier transform of linear power spectrum with log-scaled frequency. Assuming that all tones in a polyphonic sound have a common harmonic pattern, the sound spectrum can be regarded as a sum of linearly stretched common harmonic structures along frequency. In the log-frequency domain, it is formulated as the convolution of a common harmonic structure and the distribution density of the fundamental frequencies of multiple, tones. The fundamental frequency distribution can be found by deconvolving the observed spectrum with the assumed common harmonic structure, where the common harmonic structure is given heuristically or quasi-optimized with an iterative algorithm. The efficiency of specmurt analysis is experimentally demonstrated through generation of a piano-roll-like display from a polyphonic music signal and automatic sound-to-MIDI conversion. Multipitch estimation accuracy is evaluated over several polyphonic music signals and compared with manually annotated MIDI data.
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