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Varying step-size and observational error

Varying the s in Your s-step GMRES

Varying the s in Your s-step GMRES

... block size, which could be adaptively ...each step, it is desirable to get a small number of steps, balancing the convergence rate and the communications ...block size and a number of steps of the ...

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Bounded Error Identification of Systems With Time-Varying Parameters

Bounded Error Identification of Systems With Time-Varying Parameters

... In this paper, a new bounded-error identification scheme for time-varying parameter systems is proposed. The ap- proach relies on the use of zonotopes to represent the approximated feasible set solution ...

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A Novel Variable Step Size Adjustment Method Based on Autocorrelation of Error Signal for the Constant Modulus Blind Equalization Algorithm

A Novel Variable Step Size Adjustment Method Based on Autocorrelation of Error Signal for the Constant Modulus Blind Equalization Algorithm

... One of the best methods used to cancel the inter-sym- bol-interference included by (1) is a time domain channel equalizer filter. In order to illustrate the accuracy of the proposed method, LTE or soft DFE (SDFE) filter ...

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Kernel density estimation with adaptive varying window size

Kernel density estimation with adaptive varying window size

... ‘‘confidence intervals’’ given by  ff h i ðxÞ  e h i ðxÞ for the ideal constant kernel size as well as for the ICI rule. These are labeled as ‘‘upper/lower const.’’ and ‘‘upper/lower ICI’’ respectively. It can be ...

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Development of an observational error model, and astrometric masses of 28 asteroids

Development of an observational error model, and astrometric masses of 28 asteroids

... asteroid size involves stellar ...the size and shape of this projection can be pre- cisely ...absolute size from occultations, an accurate volume can be ...

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Zone based routing protocol in WSNs for varying zone size

Zone based routing protocol in WSNs for varying zone size

... for varying zone size. We will increase a size of a zone if the routing path is shorter and decrease zone size if the routing path is ...zone size is smaller it requires larger number ...

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On the Error Analysis of a Continuous Implicit Hybrid One Step Method

On the Error Analysis of a Continuous Implicit Hybrid One Step Method

... global error of computation. The size of this error on the interval of interest makes the effort put into developing the numerical method worthwhile or ...global error is small, the numerical ...

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Application of an Adaptive Step-Size Algorithm in Models of Hyperinflation

Application of an Adaptive Step-Size Algorithm in Models of Hyperinflation

... adaptive– step-size algorithm as described in Benveniste et ...adaptive step-size algorithm allows the gain to evolve in response to changes in the ...

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Step Size Adaptation in Reproducing Kernel Hilbert Space

Step Size Adaptation in Reproducing Kernel Hilbert Space

... The WIPO-alpha data set is known to be difficult to learn (Cai and Hofmann, 2004; Tsochan- taridis et al., 2004). Only 94 out of the 160 possible categories contain four or more examples while as many as 34 categories ...

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Burning Properties and Flame Propagation of Varying Size Pulverised Rice Husks

Burning Properties and Flame Propagation of Varying Size Pulverised Rice Husks

... K st = (dp/dt) max V 1/3 bar m/s (4) The vessel was instrumented to enable the flame speed to be measured (Sattar et al., 2012b, Sattar et al., 2012a, Saeed et al., 2015a, Phylaktou et al., 2010). A vertical and ...

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Variable Step LMS Algorithm Using the Accumulated Instantaneous Error Concept

Variable Step LMS Algorithm Using the Accumulated Instantaneous Error Concept

... Unfortunately doing the transition manually is not practical way of doing the transition from one step size to another. The MSE gradient is a good measure for the break point. Actually the gradient will be ...

5

Real Time Face Recognition Using Step Error Tolerance BPN

Real Time Face Recognition Using Step Error Tolerance BPN

... Neural networks play an active role in pattern recognition and have also been applied in face recognition [5]. Multi layer perceptron, time delay neural networks, back propagation, radial basis function networks and ...

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AN1307 FULL STEP MODE PHASE VOLTAGE AND PHASE CURRENT MICROSTEPPING WITH 1/4 STEP SIZE

AN1307 FULL STEP MODE PHASE VOLTAGE AND PHASE CURRENT MICROSTEPPING WITH 1/4 STEP SIZE

... the error is returning from the saturation area, the accumulator value is much higher than normal for that specific error value and, as a result, the system response ...

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Varying relationships between fire radiative power and fire size at a global scale

Varying relationships between fire radiative power and fire size at a global scale

... and error bars represents the average of the minimum burn dates of the fire patches in each bin of FRP, and the background histograms show the number of fire patches in each FRP ...

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GATE ME Kis The order of error is the Simpson s rule for numerical integration with a step size h is.

GATE ME Kis The order of error is the Simpson s rule for numerical integration with a step size h is.

... 1.25 The cost of providing service in a queuing system increases with (a) increased mean time in the queue (b) increased arrival rate (c) decreased mean time in the queue (d) d[r] ...

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Data compression in the presence of observational error correlations

Data compression in the presence of observational error correlations

... observation error correlations ...these error correlations, progress is being made, with centres around the world now explicitly accounting for OECs in a variety of observation ...prior error ...

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Error Cascades in Observational Learning: An Experiment on the Chinos Game

Error Cascades in Observational Learning: An Experiment on the Chinos Game

... an error cascade, that is, a situation where deviations from optimal learning/behavior by an agent playing later in the game increases with similar deviations incurred by preceding ...

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On the identification of model error through observations of time-varying parameters

On the identification of model error through observations of time-varying parameters

... When performing system identification, it can be possible to realise a deficient model (i.e. one that will make low fidelity predictions) that is able to closely represent a set of training data. For example, the ...

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APPRAISAL ON THE STRENGTH OF CONCRETE PRODUCED WITH VARYING AGGREGATE SIZE

APPRAISAL ON THE STRENGTH OF CONCRETE PRODUCED WITH VARYING AGGREGATE SIZE

... ABSTRACT Compressive strength is one of the important properties of concrete as it influences the durability requirements of concrete. This work presents the effects of varying size of aggregate on the ...

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Development of an observational error model, and astrometric masses of 28 asteroids

Development of an observational error model, and astrometric masses of 28 asteroids

... Intellectual support was provided by the following collaborators: • Steve Chesley (Solar System Dynamics Group, Jet Propulsion Laboratory) acted as my Principal Supervisor. We discussed all aspects of this effort, ...

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