Results 261 to 270 of about 73,156 (307)

Amplitude and Bandwidth of the Frontalis Surface EMG: Effects of Electrode Parameters

Psychophysiology, 1984
ABSTRACTIn the present investigation, the frontalis surface EMG was differentially recorded during static voluntary submaximal contractions. First, mean rectified EMG (MREMG) and EMG signal bandwidth were examined for two different bilateral EMG derivations (superior and inferior) with the electrodes placed in horizontal direction and two unilateral ...
van Boxtel, A, Goudswaard, P, Schomaker, L R   +2 more
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Bandwidth Conversion of ELF Noise Parameters

IEEE Transactions on Communications, 1984
The Field-Lewinstein-Modestino model represents ELF noise as the sum of Gaussian and impulsive components. This model has proven to be accurate and is especially convenient for analysis and simulation. However, the parameters of the model are bandwidth dependent and have been measured for only a few specific bandwidths.
openaire   +1 more source

Measurement of the Apparent Bandwidth Parameters of an Absorption Band

Applied Spectroscopy, 1968
It is quite well known that an absorption spectrum, either recorded or point-point measured, is usually represented graphically as a percentage transmission or absorption vs wavenumber or wavelength.1 For such an absorption band, the baseline1 is carefully selected.
A. M. Kabiel, C. H. Boutros
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The effects of the physical parameters on the bandwidth of a folded dipole

IRE Transactions on Antennas and Propagation, 1958
An expression is derived which yields the feedpoint admittance of a folded unipole or dipole at any desired frequency. This expression shows that the input admittance is composed of two parts-a radiation part and a transmission line part. The radiation part is analyzed as a vertical radiator while the transmission line part is analyzed by transmission ...
J. German, F. Brooks
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Varying bandwidth parameter method on Kernel Gini index estimation

Annals of the University of Craiova Mathematics and Computer Science Series, 2023
Most of measures of income inequality are derived from the Lorenz curve and many authors state that the Gini index is the best single measure of inequality. The present paper reviews some of theoretical properties of the Lorenz curve and provides a non-parametric estimate of the Gini index and the almost sure convergence of this estimate.
Agbokou, Komi, Mensah, Yaogan
openaire   +1 more source

Nonparametric Estimation of Volatility Function with Variable Bandwidth Parameter

Communications in Statistics - Theory and Methods, 2013
In this article, we introduce a new method for the volatility function estimation of continuous-time diffusion process dX t  = μ(X t )dt + σ(X t )dW t , which is based on combining the idea of local linear smoother and variable bandwidth. We give the expressions for the conditional MSE and MISE of the estimator and obtain the optimal variable bandwidth.
Xuguo Ye, Nengxiang Ling
openaire   +1 more source

Optimal bandwidth selection for forecasting under parameter instability

Journal of Financial Econometrics
Abstract This article addresses practical issues associated with the use of the local estimator in forecasting models that are affected by parameter instability. We propose an approach to select the bandwidth parameter in the context of out-of-sample forecasting.
Yu Bai, Bin Peng, Shuping Shi, Wenying Yao   +3 more
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Dispersion-slope parameter for monomode fiber bandwidth

Optical Fiber Communication, 1984
Current single-mode communications systems generally use lasers with pulsed spectral widths of less than a few nanometers centered near the zero-dispersion wavelength λ0 of the overall fiber link. However, there is some uncertainly concerning the information-carrying capacity of these links.
openaire   +1 more source

Parameter estimation aspects and the role of bandwidth in a notch filter

1982 21st IEEE Conference on Decision and Control, 1982
In this paper, the notch filter model developed for the retrieval of sinusoidal signals in noise is reexamined. A stochastic Gauss-Newton method is developed for adaptively estimating the parameters of the model. Various forms of simplifications (gradient truncation) which assure stability and convergence are then examined.
D. V. Bhaskar Rao, Sun-yuan Kung
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Extending the Peak Bandwidth of Parameters for Softmax Selection in Reinforcement Learning

IEEE Transactions on Neural Networks and Learning Systems, 2017
Softmax selection is one of the most popular methods for action selection in reinforcement learning. Although various recently proposed methods may be more effective with full parameter tuning, implementing a complicated method that requires the tuning of many parameters can be difficult.
openaire   +2 more sources