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AN1299 single shunt three phase current reconstruction algorithm for sensorless FOC of a PMSM

Báo cáo sinh học:

Báo cáo sinh học: " Research Article Polynomial-Time Algorithm for Controllability Test of a Class of Boolean Biological Networks" ppt

... a redundant variable, and h (a, b) can be rewritten as h (a) = a Any given Boolean function can be changed so as to satisfy Assumption 1: after it is transformed into an appropriate canonical form ... algorithm is applicable to a class of Boolean networks with at least 1000 nodes Finally, as an illustrative example, the proposed algorithm is applied to the Boolean network model of a neurotransmitter ... real biological relevance The reasons why such identities are appeared are that the state is binarized and that a time-delay of the state is ignored To overcome the latter point, a temporal Boolean...
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báo cáo hóa học:

báo cáo hóa học:" Robust reconstruction algorithm for compressed sensing in Gaussian noise environment using orthogonal matching pursuit with partially known support and random subsampling" pdf

... Robust reconstruction algorithm for compressed sensing in Gaussian noise environment using orthogonal matching pursuit with partially known support and random subsampling Parichat ... rate and better visual quality in all cases Keywords: compressed sensing (CS); orthogonal matching pursuit (OMP); distributed compressed sensing; model-based method Introduction Compressed sensing ... The compressed signal in compressed sensing (CS) may be corrupted by noise during transmission The effect of Gaussian noise can be reduced by averaging, hence a robust reconstruction method using...
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Báo cáo hóa học:

Báo cáo hóa học: "Robust reconstruction algorithm for compressed sensing in Gaussian noise environment using orthogonal matching pursuit with partially known support and random subsampling" doc

... Robust reconstruction algorithm for compressed sensing in Gaussian noise environment using orthogonal matching pursuit with partially known support and random subsampling Parichat Sermwuthisarn1, ... rate and better visual quality in all cases Keywords: compressed sensing (CS); orthogonal matching pursuit (OMP); distributed compressed sensing; model-based method Introduction Compressed sensing ... The compressed signal in compressed sensing (CS) may be corrupted by noise during transmission The effect of Gaussian noise can be reduced by averaging, hence a robust reconstruction method using...
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Báo cáo hóa học:

Báo cáo hóa học: " Research Article A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital Video" ppt

... than 20 graduate students As an Applied Mathematician, Michael’s main research areas include bioinformatics, data mining, operations research, and scientific computing Michael has published and ... optimal regularization parameters for the two different regularizations for a reasonable comparison With this in mind, we tried a series of regularization parameters for the two regularizations ... Osher, and E Fatemi, “Nonlinear total variation based noise removal algorithms,” Physica D, vol 60, no 1–4, pp 259–268, 1992 [41] C R Vogel and M E Oman, “Fast, robust total variationbased reconstruction...
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Báo cáo y học:

Báo cáo y học: " Derivation and preliminary validation of an administrative claims-based algorithm for the effectiveness of medications for rheumatoid arthritis"

... Derivation and preliminary validation of an administrative claims-based algorithm for the effectiveness of medications for rheumatoid arthritis Jeffrey R Curtis1,#, John W Baddley1,2, Shuo Yang1, ... VARA visits; all other data used for the analysis were from the administrative claims data To test the performance of the effectiveness algorithm and to see whether it was similar for non-biologic ... to thank Mike Connor and Sheryl Berryman at the Birmingham VA Medical Center for their assistance in working with the DSS data This work was supported by the Agency for Research and Quality (U18...
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báo cáo hóa học:

báo cáo hóa học:" Research Article A Variable Step-Size Proportionate Affine Projection Algorithm for Identification of Sparse Impulse Response" pot

... these approaches are only applicable to nonproportionate adaptive algorithms In this article, we propose a variable step-size proportionate a ne projection algorithm (VSS-PAPA) for the identification ... signal The proposed VSS-SPAPA can achieve a lower steady-state misalignment than SPAPA, approximate 10 dB improvement was achieved The steadystate misalignment of VSS-APA was the same as that of ... input signals Its computation efficient version, SPAPA, is favorable for real-world application because of its implementable low computational complexity Variable Step-Size Proportionate Affine Projection...
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Báo cáo hóa học:

Báo cáo hóa học: " Research Article A Hybrid Projection Algorithm for Finding Solutions of Mixed Equilibrium Problem and Variational Inequality Problem" pptx

... of two variational inequalities VI C ,A and VI C,B PC ; solution of a system of two mixed equilibrium problems Tn Trn and Vn solution of a mixed equilibrium problem and a variational inequality ... prove a strong convergence theorem to approximate a fixed point of S that is also a solution of a mixed equilibrium problem and a solution of a variational inequality V I C, B One can note that ... Journal of Mathematical Analysis and Applications, vol 20, pp 197–228, 1967 F E Browder, “Nonexpansive nonlinear operators in a Banach space,” Proceedings of the National Academy of Sciences of the...
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Báo cáo hóa học:

Báo cáo hóa học: " Research Article A Simplified Constant Modulus Algorithm for Blind Recovery of MIMO QAM and PSK Signals: A Criterion with Convergence Analysis" ppt

... to CMA The major advantage of SCMA is its low complexity compared to that of CMA and MMA Because, instead of using both real and imaginary parts as in CMA and MMA, only one dimension, the real ... 3E a2 R −E a4 R (13) = −κaR > 0, and κaR = E [a4 ] − 3E2 [a2 ] represents the kurtosis of the real R R parts of the symbols It is always negative in the case of PSK and QAM signals A Ikhlef and ... (MIMO) adaptive blind separation of QAM and PSK signals The criterion is based on one dimension (either real or imaginary) and consists in penalizing the deviation of the real (or the imaginary) part...
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Báo cáo hóa học:

Báo cáo hóa học: "Research Article Iterative Algorithm for Approximating Solutions of Maximal Monotone Operators in Hilbert Spaces" pot

... convergence of proximal point iterations in a Hilbert space,” Mathematical Programming, vol 87, no 1, pp 189–202, 2000 [7] S Kamimura and W Takahashi, Approximating solutions of maximal monotone operators ... convex minimization problem of finding a minimizer of a proper lower-semicontinuous convex function and the variational problem of finding a solution of a variational inequality Preliminaries Recall ... ) for all r > and x ∈ H, where Fr,x z = Fz + (z − x)/r for all z ∈ C Then we have the following result Corollary 4.3 Let F be a single-valued monotone and semicontinuous operator of C into H For...
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Báo cáo hóa học:

Báo cáo hóa học: " A Generalized Algorithm for the Generation of Correlated Rayleigh Fading Envelopes in Wireless Channels" ppt

... that is, guaranteeing that the generated Rayleigh envelopes are exactly corresponding to the desired covariance matrix The model of a Rayleigh fading generator for generating an individual baseband ... FLAT RAYLEIGH FADING ENVELOPES 4.1 Covariance matrix of complex Gaussian random variables with Rayleigh fading envelopes It is known that Rayleigh fading envelopes can be generated from zero-mean, ... that, we have to calculate the variance of the outputs of Doppler filters, which may have an arbitrary value depending on the variance of the complex Gaussian random variables at the inputs of...
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Báo cáo sinh học:

Báo cáo sinh học: " A fast algorithm for BayesB type of prediction of genome-wide estimates of genetic value" pps

... rounds and replications are required, it would be advantageous if a much faster algorithm for the calculation of BayesB GW-EBV would be available Thus, our aim here is to present a fast nonMCMC based ... -3 MBayesB-EBV Figure Scatter plot of fBayesB-EBV against MBayesB-EBV and their linear regression line Scatter plot of fBayesB-EBV against MBayesB-EBV and their linear regression line Page of ... the summary statistic of the data Y, E(g|Y), as a function of Y The expectation of the genetic value given the summary statistic of the data Y, E(g|Y), as a function of Y The parameter of the...
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Báo cáo sinh học:

Báo cáo sinh học: "An efficient algorithm to compute marginal posterior genotype probabilities for every member of a pedigree with loops" doc

... ) A1 , A4 , A6 A2 A3 , A5 A7 A8 A9 , A1 0, A1 1 A1 2, A1 3 A1 4 A1 5, A1 6 A1 7 A1 8 A1 9 A2 0 A2 1 A2 2 A2 3 A2 4, A2 5 A2 6 0 A1 A3 A4 A4 A5 A6 A6 A6 A1 2 A1 2 A1 4 A1 4 A1 4 A1 2 A1 3 0 A2 A2 A2 A8 A9 A1 0 A1 0 A1 1 A9 A9 ... A1 8 A1 9 A2 0 A2 1 A2 2 A2 3 A2 4, A2 5 A2 6 0 A1 A3 A4 A4 A5 A6 A6 A6 A1 2 A1 2 A1 4 A1 4 A1 4 A1 2 A1 3 0 A2 A2 A2 A8 A9 A1 0 A1 0 A1 1 A9 A9 A1 5 A1 6 A7 A9 A1 8 Normal Normal Normal Normal Normal Normal Normal ... the causative recessive locus Individual M 1A1 M 1A2 M 2A1 M 2A2 A1 A2 A3 A4 A5 A6 A7 A8 A9 A1 0 A1 1 A1 2 A1 3 A1 4 A1 5 A1 6 A1 7 A1 8 A1 9 A2 0 A2 1 A2 2 A2 3 A2 4 A2 5 A2 6 3 2 2 0 2 2 2 2 2 2 1 1 0 1 3 2 2 3...
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An Algorithm for Graceful Labelings of Certain Unicyclic Graphs

An Algorithm for Graceful Labelings of Certain Unicyclic Graphs

... labeling of G Enumerating graceful labelings of graphs In this section, we describe an algorithm for enumeration of graceful labelings of unicyclic graphs and use it to enumerate graceful labelings of ... characteristics of graceful unicyclic graphs which could lead to a more general proof of the conjecture of Truszczynski References [1] Jay Bagga, Adrian Heinz, M Mahbubul Majumber, An Algorithm for Graceful ... vertex in the cycle The main algorithm performs all graceful labelings of a given graceful graph The label of the common vertex can be any of the vertex labels The main algorithm proceeds as follows:...
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Development and implementation of efficient segmentation algorithm for the design of antennas and arrays

Development and implementation of efficient segmentation algorithm for the design of antennas and arrays

... developing the segmentation technique, MBF-PM-AIM is applied to the design of broadband probe-fed antennas and arrays Due to the growing demand of modern wireless communication systems, there is ... enhance the impedance bandwidth of the antennas In this thesis, various wideband semi-circle probe-fed antennas and arrays are developed for wireless local area network These include the semi-circle ... for the Green’s function for fast evaluation of the MoM matrix elements and the computation of the radiation patterns Finally, a patch antenna is analyzed to demonstrate the accuracy of the algorithm...
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CONVERGENCE ANALYSIS OF A PROXIMAL POINT ALGORITHM FOR MINIMIZING DIFFERENCES OF FUNCTIONS

CONVERGENCE ANALYSIS OF A PROXIMAL POINT ALGORITHM FOR MINIMIZING DIFFERENCES OF FUNCTIONS

... property at each point of dom ∂ C f A Generalized Proximal Point Algorithm for Minimizing Differences of Functions We focus on the convergence analysis of a proximal point algorithm for solving ... variational analysis in analyzing nonsmooth optimization algorithms, we introduce and study convergence analysis of a proximal point algorithm for minimizing differences of functions We are able to ... past three decades, Pham Dinh Tao, Le Thi Hoai An and many others have contributed to providing mathematical foundation for the algorithm and making it accessible for applications The (DCA)...
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