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time varying sine function

US3721810.pdf

US3721810.pdf

... means for multiplying said sine function electrical signal by first and second independent parameters to provide first and second time varying quarter. cycle sine functions;[r] ...

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Superior Performance of Using Hyperbolic Sine Activation Functions in ZNN Illustrated via Time-Varying Matrix Square Roots Finding

Superior Performance of Using Hyperbolic Sine Activation Functions in ZNN Illustrated via Time-Varying Matrix Square Roots Finding

... of time-varying matrix square ...theoretical time-varying matrix square roots in an error-free ...activation function arrays may lead to different performance of the ZNN ...hyperbolic ...

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Xilinx System Generator® Based Implementation of a Novel Method of Extraction of Nonstationary Sinusoids

Xilinx System Generator® Based Implementation of a Novel Method of Extraction of Nonstationary Sinusoids

... the time varying input sine function [1-3] is taken as the base model and its fixed point hardware model has been created and suc- cessfully implemented using the schematic design envi- ...

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Calculating Total Harmonic Distortion by Measuring Sine Wave

Calculating Total Harmonic Distortion by Measuring Sine Wave

... point sine wave and measure its total harmonic distor- tion when sampled first on the points and then by jumping with a delta of ...digital sine wave generation with or without inter- ...

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Design of discrete time controllers and estimators

Design of discrete time controllers and estimators

... Self-tuning control theory was developed in parallel with self-tuning estimation theory, for the same underlying reasons. Models of processes are normally inaccurately known and sometimes the dynamics may even vary with ...

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Generalizations of Shafer Fink Type Inequalities for the Arc Sine Function

Generalizations of Shafer Fink Type Inequalities for the Arc Sine Function

... Research Article Generalizations of Shafer-Fink-Type Inequalities for the Arc Sine Function Wenhai Pan and Ling Zhu Department of Mathematics, Zhejiang Gongshang University, Hangzhou, Zh[r] ...

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Impulsive control and exponential stability for nonlinear time-varying systems with time-varying delays

Impulsive control and exponential stability for nonlinear time-varying systems with time-varying delays

... nonlinear time-varying systems with time-varying delays via impulsive control is ...with time-varying delays is provided to show the effectiveness of the derived ...

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Algebraic generation of single domain computational grid for twin screw machines. Part I. Implementation

Algebraic generation of single domain computational grid for twin screw machines. Part I. Implementation

... As shown in Figure 8, the difference in rotor curvatures may result in a significant number of irregularities and crossing of the distribution lines. However, at the same time a conformal interface has been ...

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Time varying dimension models

Time varying dimension models

... Abstract: Time varying parameter (TVP) models have enjoyed an in- creasing popularity in empirical ...several Time Varying dimension (TVD) models where the dimension of the model can change ...

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Gravity wave spectra morphology in the Arctic and non-Arctic lower atmosphere

Gravity wave spectra morphology in the Arctic and non-Arctic lower atmosphere

... frequency dependent and the problem is exacerbated by the fact that, due to limited funding, we had to reduce the rate of data collection in the later years of the study. Hence the fact that the breakpoint for the ...

137

Monotonicity results and inequalities for the inverse hyperbolic sine function

Monotonicity results and inequalities for the inverse hyperbolic sine function

... for x ∈ (, arcsinh r). These can be regarded as Oppenheim-type inequalities for the hyper- bolic sine and cosine functions. For information on Oppenheim’s double inequality for the sine and cosine ...

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Misspecification of Generalized Autoregressive Score Models: Monte Carlo Simulations and Applications

Misspecification of Generalized Autoregressive Score Models: Monte Carlo Simulations and Applications

... driven time series models used the scaled score of the likelihood function as the mechanism for updating the parameters over ...introducing time varying parameters in a wide class of ...

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Bayesian Spatial Additive Hazard Model

Bayesian Spatial Additive Hazard Model

... In this thesis we consider a very general and flexible model known as the Aalen’s additive hazards model in which baseline hazard function, the regression coefficients as well as the covariates are all allowed to ...

137

Anti-tumor activity of selective inhibitors of XPO1/CRM1- mediated nuclear export in diffuse malignant peritoneal mesothelioma: the role of survivin

Anti-tumor activity of selective inhibitors of XPO1/CRM1- mediated nuclear export in diffuse malignant peritoneal mesothelioma: the role of survivin

... i.e. SINE, (12–14) have been recently ...that SINE induce anti-proliferative and pro-apoptotic effects in DMPM cell lines and, most importantly, significantly inhibit the growth of subcutaneous and ...

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TDARMA Model Estimation Using the MLS and the TF Distribution

TDARMA Model Estimation Using the MLS and the TF Distribution

... The time-varying system impulse response ζ(n,m) can be estimated by first estimating the time- varying frequency response (or the generalized transfer function) Γ(n,ω) using any ...

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Time varying fractional cointegration

Time varying fractional cointegration

... infinity, for one to estimate consistently a particular parameter. This is achieved by allowing an increasing number of neighbouring observations in order to obtain more information about β at time t. In other ...

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Time Varying Quantile Lasso

Time Varying Quantile Lasso

... Indeed as suggested in our previous simulation study, b λ is driven by characteristics of an in- vestigated model. From Figure 7 we can see that its values are higher when the residuals of the model are higher, too. ...

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Risk Correlation Based on Time Varying Copula Function and Extreme Value Theory

Risk Correlation Based on Time Varying Copula Function and Extreme Value Theory

... DOI: 10.4236/tel.2017.77151 2227 Theoretical Economics Letters the different roles of the risks associated with the market as a whole and those pertaining to the individual shares. In recent years, the correlative ...

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Periodic Function as Activation Function for Neural Networks

Periodic Function as Activation Function for Neural Networks

... periodic function as alternative activation function for neural ...sigmoid function is used as standard activation function for neuron and now linear rectifier function are ...max-out ...

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Estimating the unknown heat flux on the wall of a heat exchanger internal tube using inverse method

Estimating the unknown heat flux on the wall of a heat exchanger internal tube using inverse method

... Heat exchangers have been widely used in various engineering applications such as chip- cooling, refrigerating, power production, waste heat recovery, and chemical processing. Inverse analysis is suitable for the problem ...

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