weighting matrix
A Comparison Study on Criteria to Select the Most Adequate Weighting Matrix
... probability of choosing the correct weights matrix is the spatial parameter, absolute value of ρ in Table 313. Its contribution is crucial in the case of the Bayesian criteria and, to a [r] ...
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Using skewness to estimate the semi strong GARCH(1,1) model
... optimal weighting matrix is robust to the biases caused by many (potentially weak) instruments, as is the jackknife GMM estimator ...optimal weighting matrix is unavailable out of a concern ...
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Robust Optimal Controller Design for Induction Generator Driven by Variable-Speed Wind Turbine with STATCOM Using Immune Algorithm
... Abstract — this paper presents the modelling, controller design and a steady-state analysis algorithm for a wind-driven induction generator system. An output feedback linear quadratic controller is designed for the ...
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Global denoising for 3D MRI
... low-rank matrix completion, which is derived from compressed sensing theory [12], were pro- posed to accomplish the accurate restoration from the whole 3D dataset ...Low-rank matrix completion technology ...
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Redesign & Implementation of a Moment Exchange Unicycle Robot
... Contents Moving mass System poles Dependent coordinates Independent coordinates Weighting matrix on the states of a system used for LQR control design Generalized force term used in Lagr[r] ...
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Reference-free time-based localization for an asynchronous target
... Figure 2 compares the localization performance of the REFF with the one of the REFB estimators using TOA measurements under Setups 1 and 2. Since there are no fixed anchors in Setup 3, we skip it in the comparison. We ...
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CHANNEL ESTIMATION FOR OFDM SYSTEMS WITH TRANSMITTER DIVERSITY
... The LMMSE channel estimation for OFDM systems requires a large number of complex multiplications. A well known technique for reducing the computational complexity of the full LMMSE processor is a low rank approximation ...
155
Alternative GMM Estimators for First order Autoregressive Panel Model: An Improving Efficiency Approach
... semidefinite weighting matrix is used to obtain consistent estimates of the ...a weighting matrix can be constructed and used for asymptotically efficient two-step ...suggested ...
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Determinants of US FDI and economic growth in Sub Saharan Africa
... _Iperiod_13 dropped due to collinearity Warning: Two-step estimated covariance matrix of moments is singular.. Using a generalized inverse to calculate optimal weighting matrix for twost[r] ...
211
Finite-time Stability, Dissipativity and Passivity Analysis of Discrete-time Neural Networks Time-varying Delays
... linear matrix inequalities, which guarantees that the input and output of the considered ...linear matrix inequalities (LMIs) as complex ...free-weighting matrix technique and incorporating ...
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Non-stationary Parallel Multisplitting Two-Stage Iterative Methods with Self-AdaptiveWeighting Schemes
... adaptive weighting matrices for solving a linear system whose coefficient matrix is symmetric positive ...Self-adaptive weighting matrices are given, especially, the nonnegativity is ...
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A parallel multisplitting method with self adaptive weightings for solving H matrix linear systems
... Remark . We may use some optimization methods such as the simplex method (see []) to solve an approximated solution satisfying inequality (.). Usually, we can compute the optimal weighting at every two or ...
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Design and performance of QOSRGA protocol for mobile adhoc networks
... matrix of nci for all node pair from S to T fitness function weighting coefficient for the fitness function fittest fraction for elitism selection method probability of crossover probabi[r] ...
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Multiple criteria approach for strategy adaptation in SME’s
... This article represents one of the possible accesses to the price creation in SME’s. The method is based on the Simple Additive Weighting method (SAW), which has been described in literature, for example ...
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Reducing Over Weighting in Supervised Term Weighting for Sentiment Analysis
... binary weighting scheme ...term weighting methods originated from IR including BM25 idf (bidf) and delta BM25 idf ...term weighting methods for SA in terms of ...
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Designing Optimized Scheduling QoS-Aware RPL for Sensor-Based Smart Grid Communication Network
... for weighting parameters is as follows: the required initial values are determined; the random weighting coefficient values are selected for the particles; the PSO objective function which we consider as ...
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PLIERS at VLC2
... The queries are based on topics 351 to 400 of the TREC-7 ad-hoc track: 50 queries in all. The terms were extracted from TREC-7 topic descriptions using an Okapi query generator utility and put through the Lovins stemmer ...
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Improved Non Local Means Algorithm for Image Denoising
... The non-local means algorithm has attracted much attention and more and more researchers pay attention to the weighting function. The original non-local means algorithm uses the exponential decaying function as a ...
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Imposed weighting factor optimization method for torque ripple reduction of IM fed by indirect matrix converter with predictive control algorithm
... R&D controller board. This has been done with compiling the control part of the simulation in the DS1104 R&D controller platform. The predictive three phase load currents, voltages and motor speed was measured ...
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Using Czech TCT to Access Safety Impact of Deceleration Lane at Thai U Turns
... Due to the above-mentioned constraints, a subjective approach was considered to measure the severity of traffic conflicts and the complexity of evasive action of the road users was considered as an indicator of conflict. ...
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