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检索条件"主题词=Iterative Algorithms"

共 16566 条记录，以下是71-80 订阅

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COMPARISON OF iterative algorithms FOR PARAMETER ESTIMATION IN NONLINEAR REGRESSION

COMPARISON OF ITERATIVE ALGORITHMS FOR PARAMETER ESTIMATION ...

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作者： GAMZE MUSLUOGLU MIDDLE EAST TECHNICAL UNIVERSITY

学位级别：硕士

Nonlinear regression models are more common as compared to linear ones for real life cases e. g. climatology, biology, earthquake engineering, economics etc. However, nonlinear regression models are much more complex to fit and to interpret. Classical parameter estimation methods such as least squares and maximum likelihood can also be adopted to fit the model in nonlinear regression as well, but explicit solutions can not be achieved unlike linear models. At this point, iterative algorithms are utilized to solve the problem numerically. Since there is no extensive study which compiles, classifies and compares the existing methods for nonlinear parameter estimation, the objective of this study is to fill this gap. In our study, we aim to compile the methods which are used for nonlinear parameter estimation purpose and compare them with respect to several criteria such as bias, execution time, number of iterations etc. The comparison will be conducted considering different scenarios which are small vs. large sample sizes, good vs. poor initial values, normal vs. non-normal error terms, simple vs complex models (with respect to number of parameters), and robustness. Both real and simulated data are used in the comparative study.

关键词： Nonlinear Regression iterative algorithms Nonlinear Least Squares Nonlinear Parameter Estimation

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iterative algorithms for multichannel equalization in sound reproduction systems

Iterative algorithms for multichannel equalization in sound ...

引用

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

作者： M. Guillaume Y. Grenier G. Richard DÉpartement TSI. 46 Rue Barrault École Nationale Supérieure des Télécommunications Paris France

A fast iterative algorithm, with computation based on the fast Fourier transform (FFT), is presented. It can be used to control a sound field at several control points with a loudspeaker array from multiple reference signals. It designs an equalizer able to invert long FIR filters and which achieves better performance than traditional FFT-based deconvolution methods with an equal number of coefficients in the inverse filters.

关键词： iterative algorithms Finite impulse response filter Equalizers Extrapolation MIMO Loudspeakers Deconvolution Convolution Transducers Fast Fourier transforms

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iterative algorithms for Nash Equilibrium of an Extended OSNR Game

Iterative Algorithms for Nash Equilibrium of an Extended OSN...

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International Conference on Networking (ICN)

作者： Yan Pan Lacra Pavel Department of Electrical and Computer Engineering University of Toronto Toronto ONT Canada

This paper addresses the problem of optical signal-to-noise ratio (OSNR) optimization problem in optical networks. Based on the extended OSNR Nash game formulation that includes power capacity constraints in [10], the Nash equilibrium (NE) solution is analytically intractable and highly nonlinear. We investigate the properties of the NE solution and based on these, we develop iterative algorithms to compute the NE solution: a parallel update algorithm (PUA) and a relaxed parallel update algorithm (r-PUA). We study their convergence with different conditions, both theoretically and numerically.

关键词： iterative algorithms Nash equilibrium Signal to noise ratio Optical noise Optical fiber networks Nonlinear optics Fiber nonlinear optics Stimulated emission Optical receivers Optical transmitters

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iterative algorithms for LCMP auxiliary-vector filter

Iterative algorithms for LCMP auxiliary-vector filter

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

作者： Feng Wu Chenyang Yang Beijing Aeronautics and Astronautics University China

ISBN: (纸本)0780376633

The iterative algorithm for minimum variance distortionless response filter based on auxiliary-vector (IMVDR-AV) is generalized in this paper from a different perspective. By extending the optimization criteria on filter design, it is generalized to an iterative algorithm of linear constrained minimum power filter (ILCMP-AV). Starting from this algorithm, we present an iterative algorithm of LCMP filter based on local optimization criterion (ILCMP-LOC) which converges rapidly by further generalizing the conditional optimization criterion on weighting coefficient computation. For any positive definite input autocorrelation matrix and any linear constraint, the ILCMP-AV algorithm recursively generates a sequence of auxiliary vectors by maximizing the magnitude cross correlation under some constraint conditions and its corresponding weighting coefficients by minimizing the filter output variance. Theoretical analysis illustrates that the combination of the updated filters and the weighted auxiliary vectors forms a sequence of filters that converges to the LCMP solution.

关键词： iterative algorithms Signal processing algorithms Wiener filter Vectors Convergence Nonlinear filters Interference suppression Algorithm design and analysis Adaptive filters Array signal processing

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iterative algorithms for variance reduction on compressed sinogram random coincidences in PET

Iterative algorithms for variance reduction on compressed si...

引用

IEEE Symposium on Nuclear Science (NSS/MIC)

作者： V. Y. Panin Siemens Healthcare Molecular Imaging Knoxville TN USA

The use of the ordinary Poisson iterative reconstruction algorithm in PET requires the estimation of expected random coincidences. In a clinical environment, random coincidences are often acquired with a delayed coincidence technique, and expected randoms are estimated through variance reduction (VR) of measured delayed coincidences. In this paper we present iterative VR algorithms for random compressed sinograms, when previously known methods are not applicable. iterative methods have the advantage of easy adaptation to any acquisition geometry and of allowing the estimation of singles rates at the crystal level when the number of crystals is relatively small. Two types of sinogram compression are considered: axial (span) rebinning and transaxial mashing. A monotonic sequential coordinate descent algorithm, which optimizes the Least Squares objective function, is investigated. A simultaneous update algorithm, which possesses the advantage of easy parallelization, is also derived for both cases of the Least Squares and Poisson Likelihood objective function. Measured data from a Siemens TruePoint clinical scanner are used to validate the algorithm performance.

关键词： iterative algorithms Positron emission tomography Delay estimation Virtual reality iterative methods Least squares methods Reconstruction algorithms Geometry Crystals Mashups

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iterative algorithms for optimal signal reconstruction and parameter identification given noisy and incomplete data

Iterative algorithms for optimal signal reconstruction and p...

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

作者： B. Musicus Research Laboratory of Electronics Massachusetts Institute of Technology Cambridge MA USA

We present a new approach to the problem of estimating multiple signal and parameter unknowns given noisy and incomplete data. Using cross-entropy, we fit a separable density to the given model density, then use this separable density to estimate each unknown independently. Not only does this method include all the various MAP methods as degenerate cases, but it also directly leads to a simple iterative algorithm which can solve either the cross-entropy method or any of the MAP methods. This algorithm is particularly effective for exponential families of densities. Applications include estimation using grouped or quantized data, and a wide variety of reconstruction, smoothing, interpolation, extrapolation and modeling problems involving linear Gaussian systems.

关键词： iterative algorithms Signal reconstruction Parameter estimation Cost function Signal processing Yield estimation Bayesian methods Laboratories Smoothing methods Interpolation

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iterative algorithms for envelope constrained filter design

Iterative algorithms for envelope constrained filter design

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

作者： B. Vo A. Cantoni K.L. Teo ATRI Curtin University of Technology Bentley WA Australia Curtin University Perth WA AU Telecommun. Res. Inst. Curtin Univ. of Technol. Bentley WA Australia Department of Mathematics University of Western Australia Nedlands WA Australia

The discrete-time envelope constrained (EC) filtering problem can be formulated as a quadratic programming (QP) problem with linear inequality constraints. In this paper, the QP problem is approximated by an unconstrained minimization problem with two parameters. These parameters can be selected so that given an acceptable deviation from the norm of the optimal EC filter, the solution to the unconstrained problem satisfies both the deviation and envelope constraints. Newton's method with line search is applied to solve the unconstrained problem iteratively.

关键词： Finite impulse response filter Quadratic programming Signal processing algorithms iterative algorithms Australia Filtering Nonlinear filters Adaptive filters Least squares approximation Signal design

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iterative algorithms for Finding the Stationary Points of the Dirty Tape Problem

Iterative Algorithms for Finding the Stationary Points of th...

引用

IEEE International Symposium on Information Theory

作者： Mustafa Kesal Siddhartha Mallik Ralf Koetter Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign Urbana IL USA

ISBN: (纸本)142440505X

Two distinct iterative algorithms are proposed for obtaining locally optimal strategies for the dirty tape problem. Although the resulting strategies show only a slight performance improvement over the scalar Costa solutions, we have enough evidence to conjecture that these strategies are the optimal lattice strategies. Further, our techniques are applicable in a wider scenario, since these algorithms do not assume the additive noise to be Gaussian

关键词： iterative algorithms Integral equations Data encapsulation Tin Lattices Signal to noise ratio Concrete Constraint optimization Additive noise Encoding

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iterative algorithms for extended unbiased FIR filtering of nonlinear models over sensor networks

Iterative algorithms for extended unbiased FIR filtering of ...

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2nd IET International Conference on Intelligent Signal Processing 2015 (ISP)

作者： M Granados-Cruz Y S Shmaliy O Ibarra-Manzano S Zhao S H Khan Universidad de Guanajuato Guanajuato Guanajuato MX Jiangnan University Wuxi Jiangsu CN Cass Business School London London GB

ISBN: (纸本)9781510823440

Efficient iterative extended finite impulse response (EFIR) filtering algorithms are developed for nonlinear discrete-time state-space estimation. An advantage of the EFIR approach is that the noise statistics are not required on a horizon of N opt points and zero mean noise is allowed to have any distribution and covariance. The EFIR algorithm is developed for nonlinear estimation over sensor networks that implies time-varying matrix structures. A modified EFIR algorithm employs the nonlinear-to-linear observation conversion. Applications are given to robot indoor self-localization over radio frequency identification tag grid excess channels.

关键词： Extended unbiased FIR filter RFID tag Sensor network Extended Kalman filter RFID tags Sensor networks finite impulse response filtering iterative algorithms Nonlinear Models Extended Kalman filters Kalman filters nonlinear estimation zero mean time varying

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iterative algorithms FOR SOLVING PERIODIC DISCRETE-TIME LYAPUNOV EQUATIONS

ITERATIVE ALGORITHMS FOR SOLVING PERIODIC DISCRETE-TIME LYAP...

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第37届中国控制会议

作者： Tong-yang Jiang Rui Kang Ye-ye Gao Fei Luo Qian Xu Beijing Aerospace Automatic Control Institute

To investigate the stabilization problem of the periodic linear systems,it is important to achieve the solution of the periodic Lyapunov matrix *** order to find the solution of the equation,novel iterative algorithms for discrete-time periodic Lyapunov equations are derived,respectively to the zero initial conditions and arbitrary initial ***’s more,the latest information estimation theory is utilized in the iterative *** validity of the algorithms are verified by numerical simulations.

关键词： discrete-time periodic Lyapunov equations iterative algorithms latest information estimation theory

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