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two-stage estimation algorithm

Two-Dimensional Frequencies Estimation Using Two-Stage Separated Virtual Steering Vector-Based Algorithm

Two-Dimensional Frequencies Estimation Using Two-Stage Separated Virtual Steering Vector-Based Algorithm

... novel two-stage separated virtual steering vector- (SVSV-) based algorithm without association operation to estimate 2D ...this algorithm are (i) in the first stage, this paper ...

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Accurate Parameter Estimation of Over-the-Horizon Radar Signals Using RANSAC and MUSIC Algorithms

Accurate Parameter Estimation of Over-the-Horizon Radar Signals Using RANSAC and MUSIC Algorithms

... a two-stage procedure for estimating multipath signal components from the received ...first stage, the instantaneous frequency is estimated from the time-frequency representation of the received ...

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A Two Stage Algorithm of High Resolution Image Alignment for Mobile Applications

A Two Stage Algorithm of High Resolution Image Alignment for Mobile Applications

... motion estimation and large disparities which made local motion vectors in large ...motion estimation, our method performed a satisfactory accuracy (GMV errors within 5 pixels) in most of ...

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Modified L-shaped Decomposition Method with Scenario Aggregation for a Two-Stage Stochastic Programming Problem

Modified L-shaped Decomposition Method with Scenario Aggregation for a Two-Stage Stochastic Programming Problem

... Lshaped algorithm, if the following conditions are met: the number of variables reaches up to 100; random scenarios are generated according to the Gaussian law; number of the scenarios is about ...

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A System of Estimators of the Population Mean under Two-Phase Sampling in Presence of Two Auxiliary Variables

A System of Estimators of the Population Mean under Two-Phase Sampling in Presence of Two Auxiliary Variables

... The present paper introduces a system of estimators for estimating the finite population mean, incorporating partial auxiliary information on one variable and complete auxiliary information on second variable under ...

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Discriminative vs  Generative Approaches in Semantic Role Labeling

Discriminative vs Generative Approaches in Semantic Role Labeling

... the two algorithms we developed for the CoNLL 2008 Shared Task “Joint learning of syntactic and se- mantic ...first algorithm uses machine learning methods to identify the semantic dependencies in four ...

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Two Stage Maximum Likelihood Estimation (TSMLE) for MT CDMA Signals in the Indoor Environment

Two Stage Maximum Likelihood Estimation (TSMLE) for MT CDMA Signals in the Indoor Environment

... There are many challenges, which are not considered in the limited scope of this paper. Working with MT-CDMA system, which is an OFDM-based system, gives two substan- tial challenges. Firstly, due to the large ...

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Two-Stage Linear Three-Phase State Estimation Formulation for Active Distribution Network

Two-Stage Linear Three-Phase State Estimation Formulation for Active Distribution Network

... In comparison to AMB SE, the proposed two-stage linear three-phase state estimation can cope with voltage magnitude measurements, nonlinear active and reactive power measurements. Bad data processing ...

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A simple randomised algorithm for convex optimisation: Application to two-stage stochastic programming

A simple randomised algorithm for convex optimisation: Application to two-stage stochastic programming

... Walk algorithm, which is more stable than the ellipsoid algorithm, and outputs both solution and its ...this stage of their development all three algorithms are only of academic ...

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An Adaptive LMMSE Interpolation Algorithm for Channel Estimation in LTE Advanced Systems

An Adaptive LMMSE Interpolation Algorithm for Channel Estimation in LTE Advanced Systems

... channel estimation performance. The optimal LMMSE channel estimation performance can be obtained if the real-time multipath delay spread estimate is obtained according to the change of channel condition in ...

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Vol 3, No 4 (2012)

Vol 3, No 4 (2012)

... The algorithm proposed here for specially structured two stage flow shop scheduling problem with job restrictions is more efficient and less time consuming as compared to the algorithm ...

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Vol 4, No 1 (2013)

Vol 4, No 1 (2013)

... Organizations whose business processes are heavily IT dependent are threaten with a number of information technologies related risks. These risks must be carefully identified, classified, and analyzed for the purpose of ...

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Two-stage estimation in inverse problems using a combined wavelet thresholding and penalized maximum likelihood

Two-stage estimation in inverse problems using a combined wavelet thresholding and penalized maximum likelihood

... interest. Estimation, to give a fitted model, is known as an inverse problem which can be ill-posed and ill- conditioned, making estimation using least-squares or maximum likelihood unstable or even ...the ...

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Two-Stage Interpolation Algorithm Based on Fuzzy Logics and Edges Features for Image Zooming

Two-Stage Interpolation Algorithm Based on Fuzzy Logics and Edges Features for Image Zooming

... Figure 9 presents a close-up part of the Lena image, interpolated using different image interpolation approaches. As demonstrated, the nearest neighbor method yields block- ing artifacts; the bilinear and CFLS methods ...

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JAM: A Tabu-based Two-Stage Simulated Annealing Algorithm for the Multidimensional Arrangement Problem

JAM: A Tabu-based Two-Stage Simulated Annealing Algorithm for the Multidimensional Arrangement Problem

... SA algorithm was compared to a tabu-search SA, trying different tabu list sizes and also trying different guided restart and reannealing strategies, enhancing the ability to escape from local op- ...the ...

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Operational SAR-based sea ice drift monitoring over the Baltic Sea

Operational SAR-based sea ice drift monitoring over the Baltic Sea

... Our algorithm is based on computing phase correlation in two resolutions: in a coarse resolution to estimate the large- scale drift; and in a fine resolution to refine the coarse-scale ...the two ...

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Multichannel adaptive signal detection in space-time colored compound-gaussian autoregressive processes

Multichannel adaptive signal detection in space-time colored compound-gaussian autoregressive processes

... To overcome the above difficulty caused by large joint spatial-temporal dimension, the structural information about the disturbance space-time covariance matrix can be exploited. More precisely, a multichannel ...

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Two Stage Fingerprint Image Enhancement Algorithm by Anisotropic Diffusion

Two Stage Fingerprint Image Enhancement Algorithm by Anisotropic Diffusion

... Abstract. A new fingerprint enhancement algorithm is presented. The technique consists of two anisotropic diffusion schemes. One is the coherence-enhancing diffusion. Another is the modified edge-enhancing ...

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Model-Assisted Estimation of Population Mean in Two-Stage Cluster Sampling

Model-Assisted Estimation of Population Mean in Two-Stage Cluster Sampling

... in estimation of population parameters assume that there is an underlying model that generate survey ...to estimation of population mean then obtain a model that will be used to generate survey values given ...

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Real-time smart and standalone vision/IMU navigation sensor

Real-time smart and standalone vision/IMU navigation sensor

... In our case, for computation complexity reasons, a translational model is preferred to the affine one for the KLT warping function. Thus, our innovative and compu- tationally efficient IMU-assisted KLT tracker not only ...

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